Model comparison
Xiaomi MiMo-V2.5-Pro vs Xiaomi MiMo-V2.6-Pro
Two Xiaomi tiers compared on the figures that decide which one a workload actually needs.
Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below
Xiaomi
Xiaomi MiMo-V2.5-Pro
Frontier · Open weights
Xiaomi
Xiaomi MiMo-V2.6-Pro
Frontier · Open weights
| Specification | Xiaomi MiMo-V2.5-Pro | Xiaomi MiMo-V2.6-Pro |
|---|---|---|
| Provider | ||
| Provider | Xiaomi | Xiaomi |
| Tier | ||
| Tier | Frontier | Frontier |
| Context window | ||
| Context window | 1M | Winner: 1.05M |
| Max output | ||
| Max output | Not verifiedUnverified | Not verifiedUnverified |
| Input / 1M tokens | ||
| Input / 1M tokens | $0.435 | $0.435 |
| Output / 1M tokens | ||
| Output / 1M tokens | $0.87 | $0.87 |
| Weights | ||
| Weights | Open | Open |
| Parameters | ||
| Parameters | 1.02T total / 42B active (MoE) | 1.02T total / 42B active (MoE) |
| Reasoning levels | ||
| Reasoning levels | low, high, max | Not verifiedUnverified |
| Modalities | ||
| Modalities | text, image | text, image, video, audio |
| License | ||
| License | MIT | MIT |
| API model id | ||
| API model id | mimo-v2-5-pro | mimo-v2.6-pro |
| Released | ||
| Released | April 22, 2026 | September 21, 2026 |
| Artificial Analysis Intelligence Index (2026-09-26) | ||
| Artificial Analysis Intelligence Index (2026-09-26) | 26 | Winner: 46.3 |
| DeepSWE 1.1 (2026-09-21) | ||
| DeepSWE 1.1 (2026-09-21) | Not verifiedUnverified | 71.9 |
| Terminal-Bench 2.1 (2026-09-21) | ||
| Terminal-Bench 2.1 (2026-09-21) | Not verifiedUnverified | 89.9 |
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.
- 2026-09-21Xiaomi MiMo-V2.6 announcement (vendor)
Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.
Directly comparable
Pricing tiers
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.
Xiaomi MiMo-V2.6-Pro: $0.435/$0.87 per MTok (cache hit $0.0036; cache writes free for a limited time) — unchanged from V2.5-Pro. UltraSpeed mode (mimo-v2.6-pro-ultraspeed) costs $4.35/$8.70. Open weights (MIT) as MiMo-V2.6-Pro-RL.
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.
Xiaomi MiMo-V2.6-Pro
MiMo-V2.6-Pro is Xiaomi's open-weight (MIT) 1.02T MoE with omni-modal input and a 1M context — the top open-weight model on the Artificial Analysis index at under $1 per million output tokens.
Best for
- Open-weight frontier work
- Omni-modal input
- Cheap long-context API
Watch out
Max output is not verified; vendor benchmark claims (DeepSWE 71.9) are not yet independently reproduced.
When the cheaper one wins
Both charge $0.87 per million output tokens at standard rates, so output price is not the split. Prefer the row whose “best for” line matches the job, then confirm the live vendor rate.
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.
- 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)
- Xiaomi MiMo-V2.6-Pro: Xiaomi — MiMo-V2.6 (pricing, benchmarks) (accessed 2026-09-26)
- Xiaomi MiMo-V2.6-Pro: Hugging Face — XiaomiMiMo/MiMo-V2.6-Pro-RL (MIT, 1.02T/42B, 1M) (accessed 2026-09-26)
Related comparisons
- DeepSeek V4.1 Flash vs Xiaomi MiMo-V2.6-Pro
- Claude Fable 5.1 vs Xiaomi MiMo-V2.5-Pro
- Claude Fable 5.1 vs Xiaomi MiMo-V2.6-Pro
- Claude Fable 5 vs Xiaomi MiMo-V2.5-Pro
- Claude Fable 5 vs Xiaomi MiMo-V2.6-Pro
- Claude Mythos 5.1 vs Xiaomi MiMo-V2.5-Pro
Diving deeper on one model? Xiaomi MiMo-V2.5-Pro · Xiaomi MiMo-V2.6-Pro
Common questions
Xiaomi MiMo-V2.5-Pro vs Xiaomi MiMo-V2.6-Pro
Answered from the verified figures on this page rather than general guidance.
Is Xiaomi MiMo-V2.5-Pro or Xiaomi MiMo-V2.6-Pro cheaper for input?
Is Xiaomi MiMo-V2.5-Pro or Xiaomi MiMo-V2.6-Pro cheaper for output?
Which has the larger context window, Xiaomi MiMo-V2.5-Pro or Xiaomi MiMo-V2.6-Pro?
Should I use Xiaomi MiMo-V2.5-Pro or Xiaomi MiMo-V2.6-Pro?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Context: Xiaomi MiMo-V2.6-Pro takes 1.05M against 1M for Xiaomi MiMo-V2.5-Pro — only decisive if your prompts approach the smaller window.
- Measured capability: Xiaomi MiMo-V2.6-Pro leads Artificial Analysis Intelligence Index 46.3 to 26 (measured 2026-09-26).
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.