Model comparison
Mistral Medium 3.5 vs Xiaomi MiMo-V2.5-Pro
Mistral against Xiaomi, compared on context, price, and verified benchmark results.
Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below
Mistral
Mistral Medium 3.5
Frontier · Open weights
Xiaomi
Xiaomi MiMo-V2.5-Pro
Frontier · Open weights
| Specification | Mistral Medium 3.5 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Provider | ||
| Provider | Mistral | Xiaomi |
| Tier | ||
| Tier | Frontier | Frontier |
| Context window | ||
| Context window | 262K | Winner: 1M |
| Max output | ||
| Max output | Not verifiedUnverified | Not verifiedUnverified |
| Input / 1M tokens | ||
| Input / 1M tokens | $1.50 | Winner: $0.435 |
| Output / 1M tokens | ||
| Output / 1M tokens | $7.50 | Winner: $0.87 |
| Weights | ||
| Weights | Open | Open |
| Parameters | ||
| Parameters | 128B dense | 1.02T total / 42B active (MoE) |
| Reasoning levels | ||
| Reasoning levels | Not verifiedUnverified | low, high, max |
| Modalities | ||
| Modalities | text, image | text, image |
| License | ||
| License | Modified MIT | MIT |
| API model id | ||
| API model id | mistral-medium-3-5 | mimo-v2-5-pro |
| Released | ||
| Released | April 28, 2026 | April 22, 2026 |
| Artificial Analysis Intelligence Index (2026-09-26) | ||
| Artificial Analysis Intelligence Index (2026-09-26) | 14.2 | Winner: 26 |
Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
Where each score comes from, and how far it can be compared across models.
- 2026-09-26Artificial Analysis
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.
Pricing tiers
Mistral Medium 3.5: Mistral first-party API $1.50/$7.50 per MTok; Mistral advertises up to 90% off cached input (exact cached rate not verified). Open weights under a Modified MIT licence. 128B dense.
Xiaomi MiMo-V2.5-Pro: $0.435/$0.87 per MTok (cache hit $0.0036) after Xiaomi's 2026-05-27 V2.5 price cut — the V2.6 launch post says pricing is unchanged from V2.5. The earlier $1/$3 list and its >256K tier no longer apply. Open weights (MIT). 1.02T/42B active MoE.
Mistral Medium 3.5
Mistral Medium 3.5 is the model Mistral calls its new flagship — a 128B dense open-weight model with a 256K context, powering its Vibe remote agents.
Best for
- EU-hosted frontier work
- Open-weight self-hosting
- Mistral Vibe agents
Watch out
Far behind US and Chinese frontier models on the Artificial Analysis index; max output is not published. Check the Modified MIT terms before redistribution.
Xiaomi MiMo-V2.5-Pro
MiMo-V2.5-Pro is Xiaomi's open-weight (MIT) 1.02T MoE with native multimodal and a 1M context.
Best for
- Open-weight frontier
- Multimodal
- Long-context
Watch out
Verify weights/pricing on your endpoint.
When the cheaper one wins
Xiaomi MiMo-V2.5-Pro is cheaper on output at $0.87 per million tokens against $7.50 for Mistral Medium 3.5 — about 8.6×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.
Run the model pickerEvidence confidence: High
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 3/5 core specs verified on both sides — Not published for at least one side: max output, reasoning levels.
- 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
- Verified within the last 90 days — Newest catalog check was 2 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- Mistral Medium 3.5: Mistral docs — Mistral Medium 3.5 (26.04) (accessed 2026-09-26)
- Mistral Medium 3.5: Mistral — Vibe remote agents and Mistral Medium 3.5 (accessed 2026-09-26)
- Mistral Medium 3.5: Mistral changelog (2026-04-28) (accessed 2026-09-26)
- Xiaomi MiMo-V2.5-Pro: Xiaomi — MiMo V2.5 (accessed 2026-08-29)
- Xiaomi MiMo-V2.5-Pro: Xiaomi MiMo (accessed 2026-08-29)
- Xiaomi MiMo-V2.5-Pro: Xiaomi — MiMo-V2.6 (API pricing unchanged from V2.5) (accessed 2026-09-26)
Related comparisons
- Claude Fable 5.1 vs Mistral Medium 3.5
- Claude Fable 5.1 vs Xiaomi MiMo-V2.5-Pro
- Claude Fable 5 vs Mistral Medium 3.5
- Claude Fable 5 vs Xiaomi MiMo-V2.5-Pro
- Claude Mythos 5.1 vs Mistral Medium 3.5
- Claude Mythos 5.1 vs Xiaomi MiMo-V2.5-Pro
Diving deeper on one model? Mistral Medium 3.5 · Xiaomi MiMo-V2.5-Pro
Common questions
Mistral Medium 3.5 vs Xiaomi MiMo-V2.5-Pro
Answered from the verified figures on this page rather than general guidance.
Is Mistral Medium 3.5 or Xiaomi MiMo-V2.5-Pro cheaper for input?
Is Mistral Medium 3.5 or Xiaomi MiMo-V2.5-Pro cheaper for output?
Which has the larger context window, Mistral Medium 3.5 or Xiaomi MiMo-V2.5-Pro?
Should I use Mistral Medium 3.5 or Xiaomi MiMo-V2.5-Pro?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: Xiaomi MiMo-V2.5-Pro costs $0.435 per 1M tokens versus $1.50 for Mistral Medium 3.5 — a 3.4x difference at the headline tier.
- Context: Xiaomi MiMo-V2.5-Pro takes 1M against 262K for Mistral Medium 3.5 — only decisive if your prompts approach the smaller window.
- Measured capability: Xiaomi MiMo-V2.5-Pro leads Artificial Analysis Intelligence Index 26 to 14.2 (measured 2026-09-26).
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.