XIMiMo-V2.6-Pro Open vs 
Mistral Large Open
MiMo-V2.6-Pro vs Mistral Large compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$0.87 /M outputNo per-token fees if you self-host
$6 /M outputNo per-token fees if you self-host
MiMo-V2.6-Pro vs Mistral Large specs
| Spec | MiMo-V2.6-Pro | Mistral Large | Winner |
|---|---|---|---|
| Maker | Xiaomi | Mistral AI | – |
| Type | Open-weight | Open-weight | – |
| Context window | 1.1M tokens | 128K tokens | XIMiMo-V2.6-Pro |
| Input price | $0.44/M · free self-host | $2/M · free self-host | XIMiMo-V2.6-Pro |
| Output price | $0.87/M · free self-host | $6/M · free self-host | XIMiMo-V2.6-Pro |
| Vision / multimodal | Yes | No | XIMiMo-V2.6-Pro |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | Yes | Yes | = Tie |
| License | Open weights | Apache 2.0 | – |
Price gap & when to choose each
MiMo-V2.6-Pro is ~6.9× cheaper than Mistral Large on output tokens ($0.87 vs $6 per M tokens).
- You want to self-host or run on your cloud
- You need the longer 1.1M context window
- You prioritize data privacy & control
- You want the lowest operating costs
- You are building open or reproducible AI
- You want to self-host or run on your cloud
- You prioritize data privacy & control
- You are building open or reproducible AI
Feature comparison
| Capability | MiMo-V2.6-Pro | Mistral Large |
|---|---|---|
| Open weights (downloadable) | ✓ | ✓ |
| Self-hostable | ✓ | ✓ |
| Runs fully offline | ✓ | ✓ |
| Vision / multimodal | ✓ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✗ |
Benchmarks: MiMo-V2.6-Pro vs Mistral Large
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How MiMo-V2.6-Pro and Mistral Large score
| Criterion | MiMo-V2.6-Pro | Mistral Large |
|---|---|---|
| Cost-efficiency | 5.0 | 4.0 |
| Context window | 5.0 | 3.5 |
| Openness | 5.0 | 5.0 |
| Self-hosting | 5.0 | 5.0 |
| Multimodality | 5.0 | 3.5 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
MiMo-V2.6-Pro Open
MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...
Mistral Large Open
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news
Other models in these families
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Frequently asked questions
MiMo-V2.6-Pro vs Mistral Large — which is cheaper?
MiMo-V2.6-Pro is cheaper on output ($0.87/M vs $6/M).
Which has the larger context window?
MiMo-V2.6-Pro offers the larger context window (1.1M tokens).
MiMo-V2.6-Pro vs Mistral Large — which should I pick in 2026?
Choose MiMo-V2.6-Pro for the lower output price ($0.87/M vs $6/M). It also gives you the larger 1.1M context window.
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