AI model comparison
MiMo-V2.6-Flash vs Gemma 4 31B
Side by side comparison of MiMo-V2.6-Flash and Gemma 4 31B on pricing, benchmark scores, context window, and more.
MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi.
- Input / 1M
- $0.14
- Output / 1M
- $0.28
- Context
- 1.05M
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output.
- Input / 1M
- $0.20
- Output / 1M
- $0.40
- Context
- 262K
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
MiMo-V2.6-Flash
1.4x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
MiMo-V2.6-Flash
1.05M vs 262K tokens
Newer release
MiMo-V2.6-Flash
Released September 21, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Gemma 4 31BNot availableCoding index
Gemma 4 31B43.4Agentic index
Gemma 4 31B4.2Pricing
MiMo-V2.6-Flash vs Gemma 4 31B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Gemma 4 31B | |
|---|---|---|
| Input tokensPer 1M tokens | $0.14 | $0.20 |
| Output tokensPer 1M tokens | $0.28 | $0.40 |
| Cached input (read)Per 1M tokens | $0.00 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Gemma 4 31B$0.60Coding task
30K in, 4K out
Gemma 4 31B$7.60Long document summary
150K in, 2K out
Gemma 4 31B$30.80Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Gemma 4 31B | |
|---|---|---|
| Context window | 1.05M tokens | 262K tokens |
| Max output | 131K tokens | 16K tokens |
| Input types | Audio, Image, Text, Video | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | September 21, 2026 | April 2, 2026 |
Features
Supported features
API features available for each model.
| Metric | Gemma 4 31B | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- MiMo-V2.6-Flash vs DeepSeek V4.1 Flash 1017
- MiMo-V2.6-Flash vs DeepSeek V4.1 Flash
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- MiMo-V2.6-Flash vs GPT-6 Luna
- MiMo-V2.6-Flash vs Claude Opus 5.5
- MiMo-V2.6-Flash vs GLM 5.3
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- MiMo-V2.6-Flash vs Hy3
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- MiMo-V2.6-Flash vs Claude Haiku 5.5
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- MiMo-V2.6-Flash vs MiniMax M3.1 Flash
- MiMo-V2.6-Flash vs Muse Spark 1.3 Contributor
- MiMo-V2.6-Flash vs MiMo-V2.6-Pro
- MiMo-V2.6-Flash vs Solar Mini 4
- MiMo-V2.6-Flash vs Solar Pro 4
- MiMo-V2.6-Flash vs DeepSeek V4 Pro 0813
- MiMo-V2.6-Flash vs Mistral Large 4
- MiMo-V2.6-Flash vs Qwen3.8 Flash
- MiMo-V2.6-Flash vs Qwen3.8 27B
- MiMo-V2.6-Flash vs Qwen3.7 Flash
- MiMo-V2.6-Flash vs Gemma 4 26B A4B
- MiMo-V2.6-Flash vs Gemini 2.5 Flash Lite
- MiMo-V2.6-Flash vs Mistral Nemo
- MiMo-V2.6-Flash vs DeepSeek V3.2
- MiMo-V2.6-Flash vs gpt-oss-20b
- MiMo-V2.6-Flash vs Ling 3.1 Flash
Our take
MiMo-V2.6-Flash is 1.4x cheaper for a typical chat. MiMo-V2.6-Flash has the larger context window (1.05M vs 262K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is MiMo-V2.6-Flash or Gemma 4 31B cheaper?
MiMo-V2.6-Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). MiMo-V2.6-Flash costs $0.14 per 1M input tokens and $0.28 per 1M output tokens, while Gemma 4 31B costs $0.20 per 1M input tokens and $0.40 per 1M output tokens.
Which has a bigger context window, MiMo-V2.6-Flash or Gemma 4 31B?
MiMo-V2.6-Flash supports up to 1.05M tokens of context, compared with 262K for Gemma 4 31B.
Can I use MiMo-V2.6-Flash and Gemma 4 31B at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see MiMo-V2.6-Flash and Gemma 4 31B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to MiMo-V2.6-Flash and Gemma 4 31B at the same time. Compare the answers side by side and keep the best one.