# AI Model Usage Rankings | OpenCode Data

> As of November 14, 2026, DeepSeek V4.1 Flash led OpenCode usage over the past 7 days with 167T tokens, followed by GLM-5.3-Flash (7.9T) and MiniMax-M3.1-Flash (7.9T).

- Page: https://opencode.ai/data/
- JSON: https://opencode.ai/data/index.json
- Updated: 2026-11-14T09:14:03.000Z

## Top models: past 7 days

| Rank | Model | Lab | Tokens | Change vs previous week |
| --- | --- | --- | --- | --- |
| 1 | [DeepSeek V4.1 Flash (deepseek-v4.1-flash)](https://opencode.ai/data/deepseek/deepseek-v4-1-flash.md) | DeepSeek | 167T | +3% |
| 2 | [GLM-5.3-Flash (glm-5.3-flash)](https://opencode.ai/data/zhipuai/glm-5-3-flash.md) | Zhipu | 7.9T | +10% |
| 3 | [MiniMax-M3.1-Flash (minimax-m3.1-flash)](https://opencode.ai/data/minimax/minimax-m3-1-flash.md) | MiniMax | 7.9T | New |
| 4 | [Muse Spark 1.3 Contributor (muse-spark-1.3-contributor)](https://opencode.ai/data/meta/muse-spark-1-3-contributor.md) | Meta | 5.7T | -19% |
| 5 | [Beam 1.0 501B A23B (beam-1.0-501b-a23b)](https://opencode.ai/data/reflection/beam-1-0-501b-a23b.md) | Reflection | 5.2T | -11% |
| 6 | [Inkling 2 Small (inkling-2-small)](https://opencode.ai/data/thinkingmachines/inkling-2-small.md) | Thinking Machines | 5.1T | New |
| 7 | [MiMo-V2.6-Flash (mimo-v2.6-flash)](https://opencode.ai/data/xiaomi/mimo-v2-6-flash.md) | Xiaomi | 3.2T | -12% |
| 8 | [nemotron-3.5-super-vl](https://opencode.ai/data/nvidia/nemotron-3-5-super-vl.md) | NVIDIA | 2.4T | +2% |
| 9 | [DeepSeek V4.1 Flash 1017 (deepseek-v4.1-flash-1017)](https://opencode.ai/data/deepseek/deepseek-v4-1-flash-1017.md) | DeepSeek | 1.6T | +136% |
| 10 | [GPT-6 Luna (gpt-6-luna)](https://opencode.ai/data/openai/gpt-6-luna.md) | OpenAI | 958B | -15% |
| 11 | [DeepSeek V4 Pro (deepseek-v4-pro)](https://opencode.ai/data/deepseek/deepseek-v4-pro.md) | DeepSeek | 930B | -4% |
| 12 | [Muse Ember (muse-ember-1.0)](https://opencode.ai/data/meta/muse-ember-1-0.md) | Meta | 923B | -29% |
| 13 | [deepseek-v4.1-flash-1017-op](https://opencode.ai/data/deepseek/deepseek-v4-1-flash-1017-op.md) | DeepSeek | 860B | -13% |
| 14 | [iceman](https://opencode.ai/data/unknown/iceman.md) | - | 669B | +86% |
| 15 | [Nemotron 3.5 Lightning 30B A3B (nemotron-3.5-lightning)](https://opencode.ai/data/nvidia/nemotron-3-5-lightning.md) | NVIDIA | 624B | -8% |
| 16 | [GLM-5.3 (glm-5.3)](https://opencode.ai/data/zhipuai/glm-5-3.md) | Zhipu | 585B | +145% |
| 17 | [LongCat-2.5 (longcat-2.5)](https://opencode.ai/data/meituan/longcat-2-5.md) | Meituan | 523B | New |
| 18 | [flint-40b](https://opencode.ai/data/recursive/flint-40b.md) | Recursive | 454B | -25% |

## Top models: past day

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 1 | [DeepSeek V4.1 Flash (deepseek-v4.1-flash)](https://opencode.ai/data/deepseek/deepseek-v4-1-flash.md) | DeepSeek | 8.1T |
| 2 | [GLM-5.3-Flash (glm-5.3-flash)](https://opencode.ai/data/zhipuai/glm-5-3-flash.md) | Zhipu | 416B |
| 3 | [Inkling 2 Small (inkling-2-small)](https://opencode.ai/data/thinkingmachines/inkling-2-small.md) | Thinking Machines | 376B |
| 4 | [MiniMax-M3.1-Flash (minimax-m3.1-flash)](https://opencode.ai/data/minimax/minimax-m3-1-flash.md) | MiniMax | 328B |
| 5 | [Beam 1.0 501B A23B (beam-1.0-501b-a23b)](https://opencode.ai/data/reflection/beam-1-0-501b-a23b.md) | Reflection | 259B |
| 6 | [Muse Spark 1.3 Contributor (muse-spark-1.3-contributor)](https://opencode.ai/data/meta/muse-spark-1-3-contributor.md) | Meta | 228B |
| 7 | [MiMo-V2.6-Flash (mimo-v2.6-flash)](https://opencode.ai/data/xiaomi/mimo-v2-6-flash.md) | Xiaomi | 146B |
| 8 | [nemotron-3.5-super-vl](https://opencode.ai/data/nvidia/nemotron-3-5-super-vl.md) | NVIDIA | 58B |
| 9 | [GPT-6 Luna (gpt-6-luna)](https://opencode.ai/data/openai/gpt-6-luna.md) | OpenAI | 44B |
| 10 | [DeepSeek V4.1 Flash 1017 (deepseek-v4.1-flash-1017)](https://opencode.ai/data/deepseek/deepseek-v4-1-flash-1017.md) | DeepSeek | 42B |
| 11 | [DeepSeek V4 Pro (deepseek-v4-pro)](https://opencode.ai/data/deepseek/deepseek-v4-pro.md) | DeepSeek | 37B |
| 12 | [iceman](https://opencode.ai/data/unknown/iceman.md) | - | 35B |
| 13 | [Nemotron 3.5 Lightning 30B A3B (nemotron-3.5-lightning)](https://opencode.ai/data/nvidia/nemotron-3-5-lightning.md) | NVIDIA | 33B |
| 14 | [deepseek-v4.1-flash-1017-op](https://opencode.ai/data/deepseek/deepseek-v4-1-flash-1017-op.md) | DeepSeek | 29B |
| 15 | [deepseek-v4p1-flash-spot](https://opencode.ai/data/deepseek/deepseek-v4p1-flash-spot.md) | DeepSeek | 25B |
| 16 | [flint-40b](https://opencode.ai/data/recursive/flint-40b.md) | Recursive | 22B |
| 17 | [LongCat-2.5 (longcat-2.5)](https://opencode.ai/data/meituan/longcat-2-5.md) | Meituan | 20B |
| 18 | [MiMo-V2.6-Pro (mimo-v2.6-pro)](https://opencode.ai/data/xiaomi/mimo-v2-6-pro.md) | Xiaomi | 15B |

## Daily tokens by model: past 2 months

| Date | deepseek-v4.1-flash | glm-5.3-flash | minimax-m3.1-flash | muse-spark-1.3-contributor | beam-1.0-501b-a23b | inkling-2-small | mimo-v2.6-flash | nemotron-3.5-super-vl | deepseek-v4.1-flash-1017 | Other | Total |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 2026-09-20 | 6.9T | 426B | 0 | 4.8T | 0 | 0 | 0 | 0 | 0 | 4.7T | 17T |
| 2026-09-21 | 8.9T | 566B | 0 | 5.4T | 0 | 0 | 32B | 0 | 0 | 5.4T | 20T |
| 2026-09-22 | 8T | 506B | 0 | 5.7T | 0 | 0 | 941B | 0 | 0 | 5.3T | 20T |
| 2026-09-23 | 7T | 446B | 1.5T | 5.8T | 0 | 0 | 1.2T | 0 | 0 | 4.6T | 21T |
| 2026-09-24 | 6.2T | 402B | 6.8T | 5.4T | 0 | 0 | 1.2T | 0 | 0 | 4.5T | 25T |
| 2026-09-25 | 4.6T | 370B | 9T | 5.1T | 0 | 0 | 1.3T | 0 | 0 | 3.4T | 24T |
| 2026-09-26 | 4.3T | 309B | 7.9T | 5.1T | 0 | 0 | 1.2T | 0 | 0 | 2.5T | 21T |
| 2026-09-27 | 4.4T | 299B | 8.3T | 5.1T | 0 | 0 | 1.2T | 0 | 0 | 2.5T | 22T |
| 2026-09-28 | 6.3T | 413B | 8.7T | 5.5T | 0 | 0 | 1.5T | 0 | 0 | 3.5T | 26T |
| 2026-09-29 | 6.5T | 408B | 9.6T | 5.3T | 0 | 0 | 1.5T | 0 | 0 | 3.1T | 26T |
| 2026-09-30 | 5.8T | 389B | 10T | 4.8T | 0 | 0 | 1.5T | 0 | 0 | 2.9T | 25T |
| 2026-10-01 | 5T | 300B | 9.7T | 4.6T | 0 | 0 | 1.4T | 0 | 0 | 2.4T | 23T |
| 2026-10-02 | 4.9T | 277B | 9T | 4.4T | 0 | 0 | 1.4T | 0 | 0 | 2.5T | 22T |
| 2026-10-03 | 4.5T | 245B | 8.3T | 5T | 0 | 0 | 1.3T | 0 | 0 | 2.3T | 22T |
| 2026-10-04 | 4.6T | 253B | 8.9T | 5.2T | 0 | 0 | 1.3T | 0 | 0 | 2.4T | 23T |
| 2026-10-05 | 5.6T | 327B | 9.9T | 5.8T | 0 | 0 | 1.5T | 0 | 0 | 2.6T | 26T |
| 2026-10-06 | 6T | 335B | 5.8T | 6.1T | 0 | 0 | 2.2T | 0 | 0 | 3.1T | 24T |
| 2026-10-07 | 5.9T | 361B | 3.9T | 5.8T | 0 | 0 | 2.4T | 0 | 0 | 3.2T | 22T |
| 2026-10-08 | 6.6T | 381B | 3.7T | 5.9T | 0 | 0 | 2.4T | 0 | 0 | 3.4T | 22T |
| 2026-10-09 | 7.4T | 391B | 3.5T | 5.6T | 0 | 0 | 1.8T | 0 | 0 | 3.9T | 23T |
| 2026-10-10 | 7.3T | 352B | 3.3T | 5.8T | 0 | 0 | 1.5T | 0 | 0 | 4T | 22T |
| 2026-10-11 | 6.7T | 317B | 3T | 5.8T | 0 | 0 | 1.3T | 0 | 0 | 3.5T | 21T |
| 2026-10-12 | 9.4T | 485B | 3.1T | 5.9T | 0 | 0 | 1.6T | 0 | 0 | 3.4T | 24T |
| 2026-10-13 | 11T | 462B | 3.1T | 6.1T | 135B | 0 | 1.6T | 0 | 0 | 3.3T | 26T |
| 2026-10-14 | 11T | 474B | 3T | 6.1T | 340B | 0 | 1.6T | 0 | 0 | 3T | 26T |
| 2026-10-15 | 13T | 489B | 2.9T | 5.7T | 330B | 0 | 1.8T | 87B | 0 | 2.7T | 27T |
| 2026-10-16 | 15T | 758B | 2.5T | 5.3T | 427B | 0 | 1.6T | 293B | 0 | 1.6T | 27T |
| 2026-10-17 | 14T | 1.4T | 2.6T | 1.2T | 836B | 0 | 1.3T | 374B | 0 | 1.2T | 23T |
| 2026-10-18 | 13T | 1.2T | 2.2T | 1.1T | 761B | 0 | 1.4T | 334B | 0 | 1.5T | 22T |
| 2026-10-19 | 18T | 1.5T | 4.7T | 1.3T | 822B | 0 | 1.7T | 335B | 71B | 1.9T | 30T |
| 2026-10-20 | 19T | 1.5T | 10T | 1.2T | 679B | 0 | 1.6T | 331B | 22B | 2T | 37T |
| 2026-10-21 | 19T | 1.4T | 14T | 1.1T | 626B | 0 | 1.2T | 307B | 25B | 1.8T | 40T |
| 2026-10-22 | 18T | 1.5T | 7.5T | 1.1T | 817B | 0 | 933B | 291B | 388B | 1.6T | 32T |
| 2026-10-23 | 18T | 1.4T | 162B | 1.1T | 1T | 0 | 815B | 279B | 551B | 1.5T | 24T |
| 2026-10-24 | 15T | 833B | 121B | 1T | 722B | 0 | 517B | 140B | 6B | 1.5T | 19T |
| 2026-10-25 | 16T | 910B | 98B | 975B | 762B | 0 | 571B | 148B | 394B | 1.4T | 21T |
| 2026-10-26 | 20T | 1.1T | 133B | 1.2T | 849B | 0 | 715B | 137B | 803B | 1.3T | 26T |
| 2026-10-27 | 21T | 1.2T | 120B | 1.2T | 870B | 0 | 678B | 223B | 164B | 1.6T | 27T |
| 2026-10-28 | 22T | 1.1T | 109B | 1.2T | 859B | 0 | 648B | 221B | 0 | 1.7T | 27T |
| 2026-10-29 | 20T | 1T | 100B | 1.1T | 893B | 0 | 604B | 169B | 84B | 1.3T | 26T |
| 2026-10-30 | 19T | 933B | 90B | 1.1T | 926B | 0 | 576B | 130B | 143B | 1.4T | 24T |
| 2026-10-31 | 18T | 838B | 74B | 972B | 883B | 0 | 473B | 139B | 144B | 1.3T | 23T |
| 2026-11-01 | 19T | 836B | 67B | 928B | 884B | 0 | 416B | 137B | 127B | 1.2T | 23T |
| 2026-11-02 | 24T | 1T | 104B | 1.1T | 914B | 0 | 508B | 159B | 67B | 1.6T | 29T |
| 2026-11-03 | 27T | 1T | 101B | 1.1T | 859B | 0 | 520B | 142B | 93B | 1.7T | 32T |
| 2026-11-04 | 26T | 1.1T | 94B | 1T | 812B | 0 | 552B | 387B | 137B | 1.6T | 32T |
| 2026-11-05 | 25T | 1.1T | 96B | 1T | 834B | 0 | 543B | 535B | 114B | 1.7T | 31T |
| 2026-11-06 | 23T | 1.1T | 88B | 1T | 846B | 0 | 574B | 505B | 67B | 2.1T | 29T |
| 2026-11-07 | 18T | 1T | 80B | 881B | 754B | 340B | 471B | 484B | 76B | 1.4T | 23T |
| 2026-11-08 | 21T | 972B | 67B | 802B | 729B | 531B | 440B | 514B | 206B | 1.5T | 27T |
| 2026-11-09 | 28T | 1.2T | 102B | 998B | 794B | 596B | 498B | 531B | 258B | 2T | 35T |
| 2026-11-10 | 29T | 1.3T | 1.3T | 1T | 871B | 731B | 527B | 527B | 257B | 1.7T | 37T |
| 2026-11-11 | 26T | 1.4T | 2.3T | 973B | 835B | 814B | 548B | 402B | 379B | 1.5T | 36T |
| 2026-11-12 | 28T | 1.3T | 2.7T | 923B | 877B | 963B | 516B | 207B | 284B | 1.3T | 37T |
| 2026-11-13 | 27T | 1.3T | 1.1T | 752B | 863B | 1.1T | 488B | 165B | 184B | 1.3T | 34T |
| 2026-11-14 | 8.1T | 416B | 328B | 228B | 259B | 376B | 146B | 58B | 42B | 370B | 10T |

## Daily unique users by model: past 2 months

| Date | deepseek-v4.1-flash | gpt-6-luna | glm-5.3-flash | beam-1.0-501b-a23b | mimo-v2.6-flash | deepseek-v4-pro | muse-spark-1.3-contributor | claude-haiku-5-5 | glm-5.3 | Other | Total |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 2026-09-20 | 54K | 0 | 16K | 0 | 0 | 6.9K | 25K | 0 | 4.5K | 117K | 223K |
| 2026-09-21 | 80K | 0 | 21K | 0 | 2.2K | 9.6K | 38K | 0 | 6K | 163K | 320K |
| 2026-09-22 | 66K | 0 | 19K | 0 | 41K | 8.2K | 36K | 0 | 5.6K | 156K | 333K |
| 2026-09-23 | 62K | 2.5K | 18K | 0 | 39K | 7.4K | 35K | 0 | 4.7K | 140K | 308K |
| 2026-09-24 | 60K | 12K | 16K | 0 | 37K | 6.8K | 34K | 0 | 4.3K | 136K | 306K |
| 2026-09-25 | 49K | 12K | 13K | 0 | 21K | 5.8K | 32K | 0 | 3.6K | 123K | 260K |
| 2026-09-26 | 45K | 11K | 12K | 0 | 18K | 4.9K | 29K | 0 | 3.2K | 109K | 231K |
| 2026-09-27 | 46K | 12K | 12K | 0 | 17K | 4.8K | 28K | 0 | 3.4K | 110K | 233K |
| 2026-09-28 | 62K | 16K | 15K | 0 | 22K | 7.1K | 34K | 0 | 4.9K | 145K | 307K |
| 2026-09-29 | 68K | 17K | 15K | 0 | 23K | 7.1K | 36K | 0 | 5K | 146K | 317K |
| 2026-09-30 | 61K | 16K | 15K | 0 | 22K | 6.6K | 34K | 0 | 4.8K | 141K | 301K |
| 2026-10-01 | 56K | 15K | 13K | 0 | 22K | 5.9K | 33K | 0 | 4.3K | 128K | 277K |
| 2026-10-02 | 54K | 15K | 13K | 0 | 22K | 5.7K | 32K | 0 | 4.2K | 126K | 271K |
| 2026-10-03 | 46K | 13K | 11K | 0 | 18K | 4.5K | 29K | 0 | 3.6K | 112K | 236K |
| 2026-10-04 | 45K | 13K | 11K | 0 | 17K | 4.5K | 29K | 0 | 3.5K | 111K | 234K |
| 2026-10-05 | 54K | 17K | 13K | 0 | 21K | 6.1K | 35K | 0 | 4.7K | 134K | 284K |
| 2026-10-06 | 58K | 17K | 14K | 0 | 41K | 6.2K | 38K | 0 | 4.7K | 136K | 315K |
| 2026-10-07 | 65K | 18K | 14K | 0 | 42K | 6.2K | 39K | 691 | 4.6K | 133K | 321K |
| 2026-10-08 | 74K | 20K | 15K | 0 | 42K | 6.7K | 37K | 4.9K | 5K | 143K | 347K |
| 2026-10-09 | 88K | 20K | 15K | 0 | 31K | 6.4K | 35K | 5.4K | 4.8K | 136K | 341K |
| 2026-10-10 | 80K | 17K | 13K | 0 | 28K | 5.3K | 31K | 4.8K | 4.3K | 123K | 307K |
| 2026-10-11 | 73K | 16K | 11K | 0 | 22K | 4.8K | 31K | 4.4K | 3.9K | 111K | 278K |
| 2026-10-12 | 99K | 24K | 16K | 0 | 29K | 6.7K | 37K | 6.5K | 5.4K | 137K | 360K |
| 2026-10-13 | 102K | 26K | 16K | 6.7K | 27K | 7.1K | 37K | 6.3K | 5.5K | 133K | 367K |
| 2026-10-14 | 107K | 28K | 16K | 11K | 32K | 7.6K | 36K | 6.3K | 5.6K | 126K | 376K |
| 2026-10-15 | 123K | 29K | 17K | 8.9K | 42K | 8.1K | 35K | 6.6K | 5.9K | 124K | 399K |
| 2026-10-16 | 128K | 27K | 27K | 11K | 42K | 7.5K | 34K | 5.8K | 5.6K | 119K | 408K |
| 2026-10-17 | 121K | 24K | 31K | 14K | 39K | 6.3K | 11K | 4.9K | 4.5K | 105K | 359K |
| 2026-10-18 | 98K | 21K | 23K | 12K | 28K | 5.4K | 7.9K | 4.2K | 3.8K | 79K | 282K |
| 2026-10-19 | 137K | 32K | 30K | 13K | 36K | 7.8K | 9.8K | 6.2K | 5.5K | 111K | 388K |
| 2026-10-20 | 142K | 33K | 30K | 12K | 35K | 7.5K | 9.3K | 6.1K | 5.5K | 113K | 393K |
| 2026-10-21 | 144K | 34K | 32K | 12K | 27K | 7.7K | 9.4K | 6.2K | 5.9K | 134K | 412K |
| 2026-10-22 | 149K | 34K | 32K | 14K | 24K | 7.7K | 9.4K | 6.3K | 5.4K | 130K | 411K |
| 2026-10-23 | 152K | 34K | 32K | 16K | 22K | 7.2K | 9.7K | 6K | 5.1K | 96K | 379K |
| 2026-10-24 | 122K | 28K | 25K | 13K | 14K | 5.8K | 8.2K | 5K | 4.3K | 77K | 303K |
| 2026-10-25 | 116K | 29K | 24K | 13K | 14K | 5.8K | 7.9K | 5.1K | 4.1K | 76K | 296K |
| 2026-10-26 | 147K | 40K | 30K | 15K | 18K | 8.4K | 9.8K | 6.9K | 5.7K | 93K | 374K |
| 2026-10-27 | 154K | 42K | 31K | 16K | 18K | 8.9K | 9.8K | 7.1K | 5.7K | 85K | 378K |
| 2026-10-28 | 158K | 42K | 30K | 15K | 18K | 8.7K | 9.8K | 7.3K | 5.3K | 79K | 374K |
| 2026-10-29 | 161K | 42K | 31K | 16K | 18K | 8.7K | 9.7K | 7.3K | 5.3K | 74K | 373K |
| 2026-10-30 | 153K | 40K | 29K | 16K | 17K | 7.8K | 9.3K | 6.9K | 5.1K | 73K | 357K |
| 2026-10-31 | 130K | 33K | 24K | 15K | 14K | 6.5K | 7.9K | 5.9K | 4.3K | 64K | 305K |
| 2026-11-01 | 129K | 33K | 24K | 14K | 14K | 6.6K | 7.4K | 5.8K | 4.3K | 62K | 301K |
| 2026-11-02 | 173K | 46K | 31K | 16K | 17K | 9.2K | 9.1K | 8.4K | 5.8K | 85K | 401K |
| 2026-11-03 | 180K | 48K | 32K | 17K | 17K | 9.5K | 9.4K | 8.7K | 5.8K | 75K | 402K |
| 2026-11-04 | 185K | 47K | 32K | 16K | 17K | 9K | 9.2K | 8.5K | 5.6K | 79K | 409K |
| 2026-11-05 | 190K | 48K | 34K | 17K | 17K | 9.4K | 9.4K | 8.8K | 5.8K | 81K | 420K |
| 2026-11-06 | 187K | 46K | 36K | 16K | 17K | 9.6K | 9.3K | 8.4K | 5.8K | 78K | 414K |
| 2026-11-07 | 159K | 37K | 32K | 14K | 15K | 7.7K | 8.4K | 7.1K | 4.8K | 71K | 357K |
| 2026-11-08 | 151K | 35K | 28K | 14K | 13K | 6.8K | 7.5K | 6.3K | 4.4K | 73K | 339K |
| 2026-11-09 | 189K | 49K | 35K | 15K | 16K | 9.6K | 9.1K | 8.8K | 6.2K | 92K | 431K |
| 2026-11-10 | 193K | 50K | 36K | 16K | 16K | 9.8K | 9.3K | 9.1K | 13K | 93K | 446K |
| 2026-11-11 | 190K | 49K | 38K | 16K | 16K | 10K | 9.2K | 8.8K | 14K | 94K | 445K |
| 2026-11-12 | 198K | 49K | 36K | 15K | 15K | 9.1K | 8.9K | 8.6K | 5.3K | 86K | 430K |
| 2026-11-13 | 195K | 47K | 35K | 16K | 15K | 8.6K | 8.5K | 8.3K | 5.1K | 85K | 423K |
| 2026-11-14 | 105K | 17K | 16K | 6.8K | 6.6K | 3.1K | 4.4K | 2.9K | 1.9K | 32K | 195K |

## Weekly retention

The share of a model's users in one week who use it again the next week.

| Rank | Model | Retention | Eligible user-weeks |
| --- | --- | --- | --- |
| 1 | [MiMo-V2.6-Flash (mimo-v2.6-flash)](https://opencode.ai/data/xiaomi/mimo-v2-6-flash.md) | 80.2% | 9.6K |
| 2 | [DeepSeek V4.1 Flash (deepseek-v4.1-flash)](https://opencode.ai/data/deepseek/deepseek-v4-1-flash.md) | 75.6% | 637K |
| 3 | [Beam 1.0 501B A23B (beam-1.0-501b-a23b)](https://opencode.ai/data/reflection/beam-1-0-501b-a23b.md) | 74.5% | 7.9K |
| 4 | [MiniMax-M3.1-Flash (minimax-m3.1-flash)](https://opencode.ai/data/minimax/minimax-m3-1-flash.md) | 72.2% | 15K |
| 5 | [Muse Spark 1.3 Contributor (muse-spark-1.3-contributor)](https://opencode.ai/data/meta/muse-spark-1-3-contributor.md) | 69.2% | 55K |
| 6 | [MiMo-V2.6-Pro (mimo-v2.6-pro)](https://opencode.ai/data/xiaomi/mimo-v2-6-pro.md) | 68.2% | 8.1K |
| 7 | [iceman-contributor](https://opencode.ai/data/unknown/iceman-contributor.md) | 67.8% | 423 |
| 8 | [GPT-6 Luna (gpt-6-luna)](https://opencode.ai/data/openai/gpt-6-luna.md) | 66.7% | 17K |
| 9 | [Claude Haiku 5.5 (claude-haiku-5-5)](https://opencode.ai/data/anthropic/claude-haiku-5-5.md) | 66.1% | 7.7K |
| 10 | [Gemini 4 Argon (gemini-4-argon)](https://opencode.ai/data/google/gemini-4-argon.md) | 64.9% | 1.9K |
| 11 | [Hy3 (hy3)](https://opencode.ai/data/tencent/hy3.md) | 64.1% | 1.1K |
| 12 | [MiniMax-M2.5 (minimax-m2.5)](https://opencode.ai/data/minimax/minimax-m2-5.md) | 63.3% | 109 |
| 13 | [GLM-5.3-Flash (glm-5.3-flash)](https://opencode.ai/data/zhipuai/glm-5-3-flash.md) | 62.7% | 68K |
| 14 | [Qwen3.8 Flash (qwen3.8-flash)](https://opencode.ai/data/alibaba/qwen3-8-flash.md) | 61.6% | 9.2K |
| 15 | [Qwen3.7 Plus (qwen3.7-plus)](https://opencode.ai/data/alibaba/qwen3-7-plus.md) | 61.3% | 5.6K |

## Session cost

| Model | Average cost per session | Average tokens per session |
| --- | --- | --- |
| mimo-v2.6-flash | $0.0105 | 1.7M |
| gpt-6-luna | $0.0117 | 459K |
| muse-spark-1.3-contributor | $0.0170 | 2.9M |
| minimax-m3.1-flash | $0.0245 | 15M |
| glm-5.3-flash | $0.0347 | 2M |
| deepseek-v4.1-flash | $0.0481 | 4.6M |

## Token prices: USD per 1M tokens

| Model | Input | Output | Cached input |
| --- | --- | --- | --- |
| muse-spark-1.3-contributor | $0.10 | $0.20 | $0.0020 |
| mimo-v2.6-flash | $0.14 | $0.28 | $0.0028 |
| glm-5.3-flash | $0.12 | $0.42 | $0.03 |
| gpt-6-luna | $0.10 | $0.50 | $0.10 |
| inkling-2-small | $0.15 | $0.50 | $0.03 |
| minimax-m3.1-flash | $0.15 | $0.60 | $0.01 |
| deepseek-v4.1-flash-1017 | $0.04 | $0.70 | $0.0024 |
| beam-1.0-501b-a23b | $0.40 | $1.20 | $0.04 |
| deepseek-v4.1-flash | $0.30 | $1.20 | $0.0060 |

## Cache ratio

| Model | Input tokens served from cache | Cached input tokens | Uncached input tokens |
| --- | --- | --- | --- |
| gpt-6-luna | 99.9% | 914B | 800M |
| minimax-m3.1-flash | 97.9% | 7.7T | 162B |
| deepseek-v4.1-flash | 97.2% | 162T | 4.6T |
| muse-spark-1.3-contributor | 96.9% | 5.5T | 175B |
| beam-1.0-501b-a23b | 96.9% | 5T | 161B |
| inkling-2-small | 96.4% | 4.9T | 185B |
| deepseek-v4.1-flash-1017 | 96.2% | 1.5T | 61B |
| nemotron-3.5-super-vl | 95.9% | 2.3T | 99B |
| glm-5.3-flash | 94.4% | 7.4T | 440B |
| mimo-v2.6-flash | 94.4% | 3T | 177B |

## Market share by lab: 2026-11-14

| Lab | Tokens | Share |
| --- | --- | --- |
| DeepSeek | 8.3T | 79.8% |
| Other | 561B | 5.4% |
| Zhipu | 428B | 4.1% |
| MiniMax | 337B | 3.2% |
| Reflection | 259B | 2.5% |
| Meta | 230B | 2.2% |
| Xiaomi | 161B | 1.6% |
| NVIDIA | 92B | 0.9% |
| Meituan | 22B | 0.2% |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | China | 255T | 17.7% |
| 2 | United States | 165T | 11.4% |
| 3 | India | 75T | 5.2% |
| 4 | Germany | 61T | 4.3% |
| 5 | Brazil | 60T | 4.1% |
| 6 | Japan | 55T | 3.8% |
| 7 | Indonesia | 40T | 2.7% |
| 8 | Russia | 39T | 2.7% |
| 9 | Singapore | 35T | 2.4% |
| 10 | France | 34T | 2.3% |
| 11 | Spain | 32T | 2.2% |
| 12 | Vietnam | 30T | 2.1% |
| 13 | Hong Kong | 30T | 2.1% |
| 14 | Netherlands | 28T | 1.9% |
| 15 | United Kingdom | 28T | 1.9% |
| 16 | Türkiye | 25T | 1.7% |
| 17 | Canada | 21T | 1.5% |
| 18 | South Korea | 19T | 1.3% |
| 19 | Egypt | 19T | 1.3% |
| 20 | Poland | 18T | 1.2% |
| 21 | Italy | 17T | 1.2% |
| 22 | Argentina | 16T | 1.1% |
| 23 | Colombia | 16T | 1.1% |
| 24 | Mexico | 15T | 1% |
| 25 | Taiwan | 14T | 1% |
| 26 | Australia | 13T | 0.9% |
| 27 | Philippines | 12T | 0.9% |
| 28 | Finland | 11T | 0.8% |
| 29 | Thailand | 9.5T | 0.7% |
| 30 | Ukraine | 8.9T | 0.6% |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.