LLM Comparison
MiMo-V2.6-Flash vs Mistral Small 4
Side-by-side specs, pricing & capabilities · Updated October 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 57 273 | 17 44.3 |
| Family | MiMo | Mistral |
| Status | Current | Current |
| Release Date | Sep 2026 | Mar 2026 |
| Context Window | 1.0M tokens | 262K tokens |
| Input Price | $0.14/M tokens | $0.15/M tokens |
| Output Price | $0.28/M tokens | $0.60/M tokens |
| Pricing Notes | USD per 1M tokens for Xiaomi MiMo pay-as-you-go API access. Cache-hit input is $0.0028 per 1M tokens. | Cache read: $0.0150/M tokens |
| Capabilities | reasoningmultimodalcodingtool-useweb-searchstructured-outputcomputer-usecontext-cachingopen-weightslong-context | textvisioncodetool-use |
| Max Output | 128K tokens | — |
| API Identifier | mimo-v2.6-flash | mistralai/mistral-small-2603 |
| Benchmarks | ||
| DeepSWE v1.1 | 67.9xiaomi-mimo | — |
| AutomationBench v1.0.6 | 52.3xiaomi-mimo | — |
| Toolathlon-Verified | 73.6xiaomi-mimo | — |
| Terminal-Bench 4.0 | 28.8xiaomi-mimo | — |
| Terminal-Bench 2.1 | 87.6xiaomi-mimo | 20.9738artificial-analysis |
| Artificial Analysis Intelligence Index v4.3.2 | 37.8843590141754artificial-analysis | — |
| MMLU-Pro | — | 68.5mistral |
| HumanEval | — | 78.5mistral |
| MGSM | — | 72.3mistral |
| GPQA Diamond | — | 58.8mistral |
| LiveCodeBench | — | 64mistral |
| Artificial Analysis Intelligence Index v4.3 | — | 11.4511artificial-analysis |
| SciCode | — | 38.7731artificial-analysis |
| View MiMo-V2.6-Flash | View Mistral Small 4 | |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| MiMo-V2.6-FlashCheapest | $0.14 | $0.14 | $0.28 | — |
| Mistral Small 4 | $0.15 | $0.30 | $0.45 | +61% |
Xiaomi
MiMo-V2.6-Flash
MiMo-V2.6-Flash is Xiaomi's MIT-licensed, open-weight multimodal reasoning model optimized for high-frequency and large-scale professional workloads. It supports text, image, video, and audio input, a one-million-token context window, 128K-token output, tool use, web search, structured output, and agent workflows.
Mistral AI
Mistral Small 4
Mistral Small 4 is Mistral's Apache-2.0 open-weight hybrid model for instruction following, reasoning, and coding. It has 119B total parameters, 6.5B active parameters, and a 256K-token context window.
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