# AI Model Usage Rankings | OpenCode Data

> As of October 2, 2026, space-bunny led OpenCode usage over the past 7 days with 57T tokens, followed by DeepSeek V4.1 Flash (33T) and Muse Spark 1.3 Contributor (31T).

- Page: https://opencode.ai/data/
- JSON: https://opencode.ai/data/index.json
- Updated: 2026-10-02T07:37:14.000Z

## Top models: past 7 days

| Rank | Model | Lab | Tokens | Change vs previous week |
| --- | --- | --- | --- | --- |
| 1 | [space-bunny](https://opencode.ai/data/unknown/space-bunny.md) | - | 57T | +229% |
| 2 | [DeepSeek V4.1 Flash (deepseek-v4.1-flash)](https://opencode.ai/data/deepseek/deepseek-v4-1-flash.md) | DeepSeek | 33T | -31% |
| 3 | [Muse Spark 1.3 Contributor (muse-spark-1.3-contributor)](https://opencode.ai/data/meta/muse-spark-1-3-contributor.md) | Meta | 31T | -16% |
| 4 | [MiMo-V2.6-Flash (mimo-v2.6-flash)](https://opencode.ai/data/xiaomi/mimo-v2-6-flash.md) | Xiaomi | 8.7T | +87% |
| 5 | [DeepSeek V4 Flash (deepseek-v4-flash)](https://opencode.ai/data/deepseek/deepseek-v4-flash.md) | DeepSeek | 5.6T | -67% |
| 6 | [nemotron-3-ultra](https://opencode.ai/data/nvidia/nemotron-3-ultra.md) | NVIDIA | 3.6T | +8% |
| 7 | [LongCat-2.5-Preview (longcat-2.5-preview)](https://opencode.ai/data/meituan/longcat-2-5-preview.md) | Meituan | 2.6T | New |
| 8 | [GLM-5.3-Flash (glm-5.3-flash)](https://opencode.ai/data/zhipuai/glm-5-3-flash.md) | Zhipu | 2.1T | -32% |
| 9 | [MiMo-V2.5 (mimo-v2.5)](https://opencode.ai/data/xiaomi/mimo-v2-5.md) | Xiaomi | 788B | -79% |
| 10 | [Muse Spark 1.2 Contributor (muse-spark-1.2-contributor)](https://opencode.ai/data/meta/muse-spark-1-2-contributor.md) | Meta | 733B | -75% |
| 11 | [DeepSeek V4 Flash Vision Exp (deepseek-v4-flash-vision-exp)](https://opencode.ai/data/deepseek/deepseek-v4-flash-vision-exp.md) | DeepSeek | 684B | -31% |
| 12 | [GPT-6 Luna (gpt-6-luna)](https://opencode.ai/data/openai/gpt-6-luna.md) | OpenAI | 638B | +245% |
| 13 | [DeepSeek V4 Pro (deepseek-v4-pro)](https://opencode.ai/data/deepseek/deepseek-v4-pro.md) | DeepSeek | 462B | -31% |
| 14 | [MiMo-V2.6-Pro (mimo-v2.6-pro)](https://opencode.ai/data/xiaomi/mimo-v2-6-pro.md) | Xiaomi | 461B | +18% |
| 15 | [Nemotron 3.5 Lightning 30B A3B (nemotron-3.5-lightning)](https://opencode.ai/data/nvidia/nemotron-3-5-lightning.md) | NVIDIA | 264B | +5% |
| 16 | [Ling 3.0 Flash Fin (ling-3.0-flash-fin)](https://opencode.ai/data/inclusionai/ling-3-0-flash-fin.md) | inclusionAI | 256B | -65% |
| 17 | [Qwen3.8 Flash (qwen3.8-flash)](https://opencode.ai/data/alibaba/qwen3-8-flash.md) | - | 254B | -17% |
| 18 | [GPT-5.6 Luna (gpt-5.6-luna)](https://opencode.ai/data/openai/gpt-5-6-luna.md) | OpenAI | 194B | -60% |

## Top models: past day

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 1 | [space-bunny](https://opencode.ai/data/unknown/space-bunny.md) | - | 2.5T |
| 2 | [DeepSeek V4.1 Flash (deepseek-v4.1-flash)](https://opencode.ai/data/deepseek/deepseek-v4-1-flash.md) | DeepSeek | 1.3T |
| 3 | [Muse Spark 1.3 Contributor (muse-spark-1.3-contributor)](https://opencode.ai/data/meta/muse-spark-1-3-contributor.md) | Meta | 1T |
| 4 | [MiMo-V2.6-Flash (mimo-v2.6-flash)](https://opencode.ai/data/xiaomi/mimo-v2-6-flash.md) | Xiaomi | 385B |
| 5 | [DeepSeek V4 Flash (deepseek-v4-flash)](https://opencode.ai/data/deepseek/deepseek-v4-flash.md) | DeepSeek | 161B |
| 6 | [nemotron-3-ultra](https://opencode.ai/data/nvidia/nemotron-3-ultra.md) | NVIDIA | 143B |
| 7 | [LongCat-2.5-Preview (longcat-2.5-preview)](https://opencode.ai/data/meituan/longcat-2-5-preview.md) | Meituan | 90B |
| 8 | [GLM-5.3-Flash (glm-5.3-flash)](https://opencode.ai/data/zhipuai/glm-5-3-flash.md) | Zhipu | 66B |
| 9 | [mai-experimental-test](https://opencode.ai/data/unknown/mai-experimental-test.md) | - | 59B |
| 10 | [fledge-alpha](https://opencode.ai/data/unknown/fledge-alpha.md) | - | 54B |
| 11 | [Muse Spark 1.2 Contributor (muse-spark-1.2-contributor)](https://opencode.ai/data/meta/muse-spark-1-2-contributor.md) | Meta | 37B |
| 12 | [MiMo-V2.5 (mimo-v2.5)](https://opencode.ai/data/xiaomi/mimo-v2-5.md) | Xiaomi | 34B |
| 13 | [DeepSeek V4 Flash Vision Exp (deepseek-v4-flash-vision-exp)](https://opencode.ai/data/deepseek/deepseek-v4-flash-vision-exp.md) | DeepSeek | 19B |
| 14 | [DeepSeek V4 Pro (deepseek-v4-pro)](https://opencode.ai/data/deepseek/deepseek-v4-pro.md) | DeepSeek | 16B |
| 15 | [MiMo-V2.6-Pro (mimo-v2.6-pro)](https://opencode.ai/data/xiaomi/mimo-v2-6-pro.md) | Xiaomi | 16B |
| 16 | [GPT-6 Luna (gpt-6-luna)](https://opencode.ai/data/openai/gpt-6-luna.md) | OpenAI | 15B |
| 17 | [Nemotron 3.5 Lightning 30B A3B (nemotron-3.5-lightning)](https://opencode.ai/data/nvidia/nemotron-3-5-lightning.md) | NVIDIA | 13B |
| 18 | [Qwen3.8 Flash (qwen3.8-flash)](https://opencode.ai/data/alibaba/qwen3-8-flash.md) | - | 10B |

## Daily tokens by model: past 2 months

| Date | space-bunny | deepseek-v4.1-flash | muse-spark-1.3-contributor | mimo-v2.6-flash | deepseek-v4-flash | nemotron-3-ultra | longcat-2.5-preview | glm-5.3-flash | mimo-v2.5 | Other | Total |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 2026-08-08 | 0 | 0 | 0 | 0 | 8.2T | 0 | 0 | 0 | 167B | 778B | 9.1T |
| 2026-08-09 | 0 | 0 | 0 | 0 | 8.3T | 0 | 0 | 0 | 149B | 698B | 9.2T |
| 2026-08-10 | 0 | 0 | 0 | 0 | 9T | 0 | 0 | 0 | 153B | 1.1T | 10T |
| 2026-08-11 | 0 | 0 | 0 | 0 | 14T | 69B | 0 | 0 | 445B | 1.3T | 16T |
| 2026-08-12 | 0 | 0 | 0 | 0 | 17T | 153B | 0 | 0 | 513B | 1.8T | 19T |
| 2026-08-13 | 0 | 0 | 0 | 0 | 18T | 75B | 0 | 0 | 517B | 2.7T | 21T |
| 2026-08-14 | 0 | 0 | 0 | 0 | 18T | 228B | 0 | 0 | 509B | 2.6T | 22T |
| 2026-08-15 | 0 | 0 | 0 | 0 | 17T | 265B | 0 | 0 | 482B | 2.3T | 20T |
| 2026-08-16 | 0 | 0 | 0 | 0 | 15T | 333B | 0 | 0 | 607B | 2.1T | 18T |
| 2026-08-17 | 0 | 0 | 0 | 0 | 9.4T | 331B | 0 | 0 | 2.4T | 2.1T | 14T |
| 2026-08-18 | 0 | 0 | 0 | 0 | 9T | 324B | 0 | 0 | 2.1T | 1.8T | 13T |
| 2026-08-19 | 0 | 0 | 0 | 0 | 7.6T | 482B | 0 | 0 | 2.1T | 1.8T | 12T |
| 2026-08-20 | 0 | 0 | 0 | 0 | 6.9T | 495B | 0 | 74B | 2.1T | 2.3T | 12T |
| 2026-08-21 | 0 | 0 | 0 | 0 | 3T | 492B | 0 | 4.1T | 1.8T | 3T | 12T |
| 2026-08-22 | 0 | 0 | 0 | 0 | 2.2T | 520B | 0 | 6.6T | 1.2T | 2.5T | 13T |
| 2026-08-23 | 0 | 0 | 0 | 0 | 2.1T | 644B | 0 | 8.4T | 1.2T | 2.7T | 15T |
| 2026-08-24 | 0 | 0 | 0 | 0 | 3.2T | 701B | 0 | 9.8T | 1.5T | 3.4T | 19T |
| 2026-08-25 | 0 | 0 | 0 | 0 | 3.1T | 615B | 0 | 9T | 2.3T | 3.5T | 18T |
| 2026-08-26 | 0 | 0 | 0 | 0 | 3T | 596B | 0 | 6.3T | 2.8T | 3.6T | 16T |
| 2026-08-27 | 0 | 0 | 0 | 0 | 3.9T | 643B | 0 | 634B | 2.1T | 4.3T | 12T |
| 2026-08-28 | 0 | 0 | 0 | 0 | 4T | 609B | 0 | 620B | 1.3T | 3.8T | 10T |
| 2026-08-29 | 0 | 0 | 0 | 0 | 3.5T | 627B | 0 | 453B | 1.1T | 3.5T | 9.1T |
| 2026-08-30 | 0 | 0 | 0 | 0 | 3.5T | 423B | 0 | 442B | 1.3T | 3T | 8.6T |
| 2026-08-31 | 0 | 0 | 0 | 0 | 4.2T | 378B | 0 | 669B | 1.8T | 3.5T | 10T |
| 2026-09-01 | 0 | 0 | 0 | 0 | 4.2T | 368B | 0 | 695B | 1.7T | 3.6T | 11T |
| 2026-09-02 | 0 | 0 | 117B | 0 | 4T | 412B | 0 | 581B | 1.7T | 3.6T | 10T |
| 2026-09-03 | 0 | 0 | 3.3T | 0 | 3.8T | 388B | 0 | 538B | 1.5T | 2.7T | 12T |
| 2026-09-04 | 0 | 0 | 4.4T | 0 | 3.3T | 398B | 0 | 485B | 1.7T | 2.3T | 13T |
| 2026-09-05 | 0 | 0 | 4.6T | 0 | 3T | 414B | 0 | 364B | 1.2T | 1.7T | 11T |
| 2026-09-06 | 0 | 0 | 4.6T | 0 | 2.9T | 390B | 0 | 343B | 1.2T | 1.6T | 11T |
| 2026-09-07 | 0 | 0 | 4.5T | 0 | 3.5T | 426B | 0 | 516B | 1.4T | 1.9T | 12T |
| 2026-09-08 | 0 | 0 | 4.6T | 0 | 3.6T | 318B | 0 | 506B | 1.5T | 1.9T | 12T |
| 2026-09-09 | 0 | 0 | 5.7T | 0 | 3.4T | 322B | 0 | 546B | 1.5T | 1.9T | 13T |
| 2026-09-10 | 0 | 3T | 5.9T | 0 | 3.2T | 336B | 0 | 603B | 1.7T | 1.7T | 16T |
| 2026-09-11 | 0 | 5T | 5.2T | 0 | 2.7T | 272B | 0 | 468B | 1.3T | 1.2T | 16T |
| 2026-09-12 | 0 | 5.4T | 5.5T | 0 | 2.6T | 410B | 0 | 400B | 944B | 1.1T | 16T |
| 2026-09-13 | 0 | 5.6T | 4.4T | 0 | 2.6T | 311B | 0 | 403B | 984B | 1.1T | 15T |
| 2026-09-14 | 0 | 6.5T | 5T | 0 | 2.9T | 307B | 0 | 624B | 1.3T | 1.3T | 18T |
| 2026-09-15 | 0 | 7.5T | 5.1T | 0 | 2.9T | 306B | 0 | 635B | 1.3T | 1.4T | 19T |
| 2026-09-16 | 0 | 8.2T | 5.3T | 0 | 2.8T | 391B | 0 | 596B | 1.3T | 1.5T | 20T |
| 2026-09-17 | 0 | 8.8T | 5.9T | 0 | 2.5T | 438B | 0 | 566B | 973B | 1.7T | 21T |
| 2026-09-18 | 0 | 8.2T | 5.9T | 0 | 2.6T | 541B | 0 | 0 | 920B | 1.3T | 19T |
| 2026-09-19 | 0 | 6.5T | 4.7T | 0 | 2.2T | 515B | 0 | 380B | 772B | 1.1T | 16T |
| 2026-09-20 | 0 | 6.9T | 4.8T | 0 | 2.3T | 503B | 0 | 426B | 810B | 1.1T | 17T |
| 2026-09-21 | 0 | 8.9T | 5.4T | 32B | 2.7T | 489B | 0 | 566B | 927B | 1.3T | 20T |
| 2026-09-22 | 0 | 8T | 5.7T | 941B | 2.8T | 507B | 0 | 506B | 649B | 1.4T | 20T |
| 2026-09-23 | 1.5T | 7T | 5.8T | 1.2T | 2.7T | 307B | 0 | 446B | 306B | 1.3T | 21T |
| 2026-09-24 | 6.8T | 6.2T | 5.4T | 1.2T | 2.6T | 398B | 0 | 402B | 200B | 1.2T | 25T |
| 2026-09-25 | 9T | 4.6T | 5.1T | 1.3T | 1.6T | 642B | 0 | 370B | 151B | 971B | 24T |
| 2026-09-26 | 7.9T | 4.3T | 5.1T | 1.2T | 822B | 731B | 136B | 309B | 127B | 728B | 21T |
| 2026-09-27 | 8.3T | 4.4T | 5.1T | 1.2T | 679B | 663B | 359B | 299B | 121B | 707B | 22T |
| 2026-09-28 | 8.7T | 6.2T | 5.4T | 1.5T | 1.3T | 634B | 529B | 410B | 133B | 940B | 26T |
| 2026-09-29 | 9.6T | 6.4T | 5.3T | 1.5T | 1.1T | 465B | 543B | 393B | 127B | 824B | 26T |
| 2026-09-30 | 10T | 5.7T | 4.8T | 1.5T | 945B | 459B | 546B | 362B | 122B | 770B | 25T |
| 2026-10-01 | 9.7T | 4.9T | 4.5T | 1.4T | 643B | 524B | 427B | 276B | 124B | 732B | 23T |
| 2026-10-02 | 2.5T | 1.3T | 1T | 385B | 161B | 143B | 90B | 66B | 34B | 272B | 5.9T |

## Daily unique users by model: past 2 months

| Date | deepseek-v4.1-flash | space-bunny | muse-spark-1.3-contributor | mimo-v2.6-flash | deepseek-v4-flash | gpt-6-luna | glm-5.3-flash | mai-experimental-test | longcat-2.5-preview | Other | Total |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 2026-08-08 | 0 | 0 | 0 | 0 | 59K | 0 | 0 | 0 | 0 | 108K | 167K |
| 2026-08-09 | 0 | 0 | 0 | 0 | 60K | 0 | 0 | 0 | 0 | 101K | 161K |
| 2026-08-10 | 0 | 0 | 0 | 0 | 80K | 0 | 0 | 0 | 0 | 144K | 225K |
| 2026-08-11 | 0 | 0 | 0 | 0 | 190K | 0 | 0 | 0 | 0 | 217K | 408K |
| 2026-08-12 | 0 | 0 | 0 | 0 | 172K | 0 | 0 | 0 | 0 | 234K | 406K |
| 2026-08-13 | 0 | 0 | 0 | 0 | 169K | 0 | 0 | 0 | 0 | 224K | 393K |
| 2026-08-14 | 0 | 0 | 0 | 0 | 167K | 0 | 0 | 0 | 0 | 224K | 391K |
| 2026-08-15 | 0 | 0 | 0 | 0 | 145K | 0 | 0 | 0 | 0 | 188K | 333K |
| 2026-08-16 | 0 | 0 | 0 | 0 | 143K | 0 | 0 | 0 | 0 | 192K | 336K |
| 2026-08-17 | 0 | 0 | 0 | 0 | 167K | 0 | 0 | 0 | 0 | 288K | 455K |
| 2026-08-18 | 0 | 0 | 0 | 0 | 158K | 0 | 0 | 0 | 0 | 269K | 427K |
| 2026-08-19 | 0 | 0 | 0 | 0 | 159K | 0 | 0 | 0 | 0 | 272K | 431K |
| 2026-08-20 | 0 | 0 | 0 | 0 | 147K | 0 | 4.1K | 0 | 0 | 257K | 408K |
| 2026-08-21 | 0 | 0 | 0 | 0 | 85K | 0 | 67K | 0 | 0 | 280K | 432K |
| 2026-08-22 | 0 | 0 | 0 | 0 | 65K | 0 | 75K | 0 | 0 | 217K | 357K |
| 2026-08-23 | 0 | 0 | 0 | 0 | 54K | 0 | 76K | 0 | 0 | 190K | 320K |
| 2026-08-24 | 0 | 0 | 0 | 0 | 87K | 0 | 98K | 0 | 0 | 268K | 453K |
| 2026-08-25 | 0 | 0 | 0 | 0 | 83K | 0 | 92K | 0 | 0 | 265K | 440K |
| 2026-08-26 | 0 | 0 | 0 | 0 | 79K | 0 | 78K | 0 | 0 | 274K | 430K |
| 2026-08-27 | 0 | 0 | 0 | 0 | 92K | 0 | 22K | 0 | 0 | 274K | 388K |
| 2026-08-28 | 0 | 0 | 0 | 0 | 89K | 0 | 22K | 0 | 0 | 232K | 343K |
| 2026-08-29 | 0 | 0 | 0 | 0 | 69K | 0 | 17K | 0 | 0 | 180K | 266K |
| 2026-08-30 | 0 | 0 | 0 | 0 | 67K | 0 | 16K | 0 | 0 | 176K | 260K |
| 2026-08-31 | 0 | 0 | 0 | 0 | 89K | 0 | 24K | 0 | 0 | 239K | 352K |
| 2026-09-01 | 0 | 0 | 0 | 0 | 89K | 0 | 24K | 0 | 0 | 230K | 343K |
| 2026-09-02 | 0 | 0 | 2.6K | 0 | 84K | 0 | 23K | 0 | 0 | 222K | 332K |
| 2026-09-03 | 0 | 0 | 25K | 0 | 82K | 0 | 24K | 0 | 0 | 221K | 352K |
| 2026-09-04 | 0 | 0 | 29K | 0 | 74K | 0 | 22K | 0 | 0 | 202K | 328K |
| 2026-09-05 | 0 | 0 | 27K | 0 | 59K | 0 | 16K | 0 | 0 | 152K | 254K |
| 2026-09-06 | 0 | 0 | 28K | 0 | 57K | 0 | 15K | 0 | 0 | 146K | 246K |
| 2026-09-07 | 0 | 0 | 33K | 0 | 72K | 0 | 21K | 0 | 0 | 182K | 309K |
| 2026-09-08 | 0 | 0 | 35K | 0 | 70K | 0 | 21K | 0 | 0 | 173K | 299K |
| 2026-09-09 | 0 | 0 | 34K | 0 | 67K | 0 | 20K | 0 | 0 | 161K | 283K |
| 2026-09-10 | 32K | 0 | 35K | 0 | 67K | 0 | 21K | 0 | 0 | 165K | 319K |
| 2026-09-11 | 43K | 0 | 34K | 0 | 59K | 0 | 17K | 0 | 0 | 141K | 293K |
| 2026-09-12 | 38K | 0 | 31K | 0 | 45K | 0 | 13K | 0 | 0 | 108K | 235K |
| 2026-09-13 | 39K | 0 | 31K | 0 | 43K | 0 | 12K | 0 | 0 | 110K | 235K |
| 2026-09-14 | 54K | 0 | 38K | 0 | 57K | 0 | 20K | 0 | 0 | 149K | 317K |
| 2026-09-15 | 55K | 0 | 38K | 0 | 55K | 0 | 20K | 0 | 0 | 149K | 317K |
| 2026-09-16 | 58K | 0 | 38K | 0 | 54K | 0 | 19K | 0 | 0 | 162K | 331K |
| 2026-09-17 | 68K | 0 | 34K | 0 | 51K | 0 | 20K | 0 | 0 | 161K | 334K |
| 2026-09-18 | 63K | 0 | 36K | 0 | 48K | 0 | 0 | 0 | 0 | 136K | 282K |
| 2026-09-19 | 53K | 0 | 35K | 0 | 36K | 0 | 15K | 0 | 0 | 118K | 258K |
| 2026-09-20 | 54K | 0 | 29K | 0 | 34K | 0 | 16K | 0 | 0 | 108K | 242K |
| 2026-09-21 | 80K | 0 | 38K | 2.2K | 52K | 0 | 21K | 0 | 0 | 127K | 320K |
| 2026-09-22 | 66K | 0 | 36K | 41K | 48K | 0 | 19K | 1.6K | 0 | 122K | 334K |
| 2026-09-23 | 62K | 6.9K | 35K | 39K | 45K | 2.5K | 18K | 1.7K | 0 | 100K | 310K |
| 2026-09-24 | 60K | 20K | 34K | 37K | 44K | 12K | 16K | 1.6K | 0 | 83K | 308K |
| 2026-09-25 | 49K | 34K | 32K | 21K | 29K | 12K | 13K | 629 | 2 | 69K | 260K |
| 2026-09-26 | 45K | 36K | 29K | 18K | 18K | 11K | 12K | 2.9K | 3.4K | 60K | 234K |
| 2026-09-27 | 46K | 35K | 28K | 17K | 17K | 12K | 12K | 2.9K | 6.7K | 60K | 236K |
| 2026-09-28 | 62K | 45K | 34K | 22K | 27K | 16K | 15K | 3.1K | 8.4K | 77K | 310K |
| 2026-09-29 | 67K | 49K | 36K | 23K | 25K | 17K | 15K | 6.3K | 8.4K | 75K | 321K |
| 2026-09-30 | 61K | 50K | 34K | 22K | 24K | 16K | 14K | 12K | 8.1K | 69K | 310K |
| 2026-10-01 | 55K | 49K | 33K | 22K | 17K | 15K | 13K | 16K | 7.5K | 63K | 291K |
| 2026-10-02 | 30K | 23K | 17K | 12K | 7.4K | 5.5K | 5.6K | 3.7K | 2.7K | 25K | 131K |

## 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 | [Muse Spark 1.2 Contributor (muse-spark-1.2-contributor)](https://opencode.ai/data/meta/muse-spark-1-2-contributor.md) | 79.4% | 8.6K |
| 2 | [MiMo-V2.5 (mimo-v2.5)](https://opencode.ai/data/xiaomi/mimo-v2-5.md) | 68.8% | 29K |
| 3 | [Hy3 (hy3)](https://opencode.ai/data/tencent/hy3.md) | 68.1% | 3.5K |
| 4 | [Muse Spark 1.3 Contributor (muse-spark-1.3-contributor)](https://opencode.ai/data/meta/muse-spark-1-3-contributor.md) | 67.5% | 24K |
| 5 | [Qwen3.5 Plus (qwen3.5-plus)](https://opencode.ai/data/alibaba/qwen3-5-plus.md) | 67.1% | 237 |
| 6 | [LongCat-2.0 (longcat-2.0)](https://opencode.ai/data/meituan/longcat-2-0.md) | 65.5% | 496 |
| 7 | [omen-alpha](https://opencode.ai/data/unknown/omen-alpha.md) | 65.4% | 3.8K |
| 8 | [DeepSeek V4 Flash (deepseek-v4-flash)](https://opencode.ai/data/deepseek/deepseek-v4-flash.md) | 65.3% | 472K |
| 9 | [DeepSeek V4 Flash Vision Exp (deepseek-v4-flash-vision-exp)](https://opencode.ai/data/deepseek/deepseek-v4-flash-vision-exp.md) | 63.6% | 21K |
| 10 | [GLM-5.3-Flash (glm-5.3-flash)](https://opencode.ai/data/zhipuai/glm-5-3-flash.md) | 63.2% | 68K |
| 11 | [Kimi K2.5 (kimi-k2.5)](https://opencode.ai/data/moonshotai/kimi-k2-5.md) | 62.8% | 557 |
| 12 | [GLM-5 (glm-5)](https://opencode.ai/data/zhipuai/glm-5.md) | 60.9% | 649 |
| 13 | [MiniMax-M2.7 (minimax-m2.7)](https://opencode.ai/data/minimax/minimax-m2-7.md) | 60.2% | 2.9K |
| 14 | [MiMo-V2.5-Pro (mimo-v2.5-pro)](https://opencode.ai/data/xiaomi/mimo-v2-5-pro.md) | 60.1% | 6.8K |
| 15 | [Qwen3.8 Flash (qwen3.8-flash)](https://opencode.ai/data/alibaba/qwen3-8-flash.md) | 60.0% | 5.5K |

## Session cost

| Model | Average cost per session | Average tokens per session |
| --- | --- | --- |
| muse-spark-1.3-contributor | $0.0004 | 299K |
| mimo-v2.5 | $0.0019 | 279K |
| mimo-v2.6-flash | $0.0033 | 1.8M |
| deepseek-v4-flash | $0.0377 | 5M |
| glm-5.3-flash | $0.0677 | 1.7M |
| deepseek-v4.1-flash | $0.0760 | 5.4M |

## Token prices: USD per 1M tokens

| Model | Input | Output | Cached input |
| --- | --- | --- | --- |
| muse-spark-1.2-contributor | $0.10 | $0.20 | $0.0020 |
| muse-spark-1.3-contributor | $0.10 | $0.20 | $0.0020 |
| mimo-v2.5 | $0.16 | $0.32 | $0.0040 |
| mimo-v2.6-flash | $0.16 | $0.32 | $0.0040 |
| glm-5.3-flash | $0.15 | $0.50 | $0.03 |
| deepseek-v4-flash | $0.30 | $1.20 | $0.0060 |
| deepseek-v4.1-flash | $0.30 | $1.20 | $0.0060 |
| longcat-2.5-preview | $0.30 | $1.20 | $0.0060 |

## Cache ratio

| Model | Input tokens served from cache | Cached input tokens | Uncached input tokens |
| --- | --- | --- | --- |
| space-bunny | 96.6% | 55T | 1.9T |
| deepseek-v4-flash | 96.5% | 5.4T | 198B |
| deepseek-v4.1-flash | 96.4% | 32T | 1.2T |
| muse-spark-1.3-contributor | 96.4% | 30T | 1.1T |
| longcat-2.5-preview | 96% | 2.5T | 104B |
| mimo-v2.6-flash | 95.1% | 8.2T | 426B |
| glm-5.3-flash | 93.2% | 2T | 144B |
| nemotron-3-ultra | 90.7% | 3.3T | 334B |
| mimo-v2.5 | 87.7% | 684B | 96B |
| muse-spark-1.2-contributor | 84.8% | 525B | 94B |

## Market share by lab: 2026-10-02

| Lab | Tokens | Share |
| --- | --- | --- |
| Other | 2.7T | 46.0% |
| DeepSeek | 1.4T | 24.5% |
| Meta | 1T | 17.6% |
| Xiaomi | 436B | 7.4% |
| NVIDIA | 156B | 2.6% |
| Zhipu | 71B | 1.2% |
| OpenAI | 22B | 0.4% |
| Qwen | 13B | 0.2% |
| Tencent | 1.2B | 0.0% |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | China | 147T | 16.3% |
| 2 | United States | 113T | 12.5% |
| 3 | India | 56T | 6.2% |
| 4 | Brazil | 38T | 4.2% |
| 5 | Germany | 35T | 3.9% |
| 6 | Japan | 34T | 3.8% |
| 7 | Indonesia | 28T | 3.1% |
| 8 | Singapore | 24T | 2.7% |
| 9 | Hong Kong | 19T | 2.1% |
| 10 | France | 19T | 2.1% |
| 11 | Spain | 18T | 2% |
| 12 | Vietnam | 18T | 2% |
| 13 | Russia | 16T | 1.8% |
| 14 | Netherlands | 16T | 1.7% |
| 15 | Türkiye | 15T | 1.7% |
| 16 | United Kingdom | 15T | 1.7% |
| 17 | Canada | 13T | 1.5% |
| 18 | Egypt | 12T | 1.4% |
| 19 | South Korea | 11T | 1.2% |
| 20 | Argentina | 11T | 1.2% |
| 21 | Italy | 10T | 1.2% |
| 22 | Poland | 10T | 1.1% |
| 23 | Colombia | 9.8T | 1.1% |
| 24 | Mexico | 9T | 1% |
| 25 | Taiwan | 8.9T | 1% |
| 26 | Philippines | 8.2T | 0.9% |
| 27 | Australia | 7.9T | 0.9% |
| 28 | Nigeria | 6.2T | 0.7% |
| 29 | Bangladesh | 6.2T | 0.7% |
| 30 | Pakistan | 6.2T | 0.7% |

## 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.