Model comparison
Muse Spark 1.2 vs Xiaomi MiMo-V2.6-Pro
Meta 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
Meta
Muse Spark 1.2
Frontier
Xiaomi
Xiaomi MiMo-V2.6-Pro
Frontier · Open weights
| Specification | Muse Spark 1.2 | Xiaomi MiMo-V2.6-Pro |
|---|---|---|
| Provider | ||
| Provider | Meta | Xiaomi |
| Tier | ||
| Tier | Frontier | Frontier |
| Context window | ||
| Context window | 1.05M | 1.05M |
| Max output | ||
| Max output | Not verifiedUnverified | Not verifiedUnverified |
| Input / 1M tokens | ||
| Input / 1M tokens | $1.25 | Winner: $0.435 |
| Output / 1M tokens | ||
| Output / 1M tokens | $4.25 | Winner: $0.87 |
| Weights | ||
| Weights | Closed | Open |
| Parameters | ||
| Parameters | Meta frontier model | 1.02T total / 42B active (MoE) |
| Reasoning levels | ||
| Reasoning levels | minimal, low, medium, high, xhigh, max | Not verifiedUnverified |
| Modalities | ||
| Modalities | text, image, video, audio, pdf | text, image, video, audio |
| License | ||
| License | Not disclosedUnverified | MIT |
| API model id | ||
| API model id | muse-spark-1.2 | mimo-v2.6-pro |
| Released | ||
| Released | August 5, 2026 | September 21, 2026 |
| Artificial Analysis Intelligence Index [xhigh] (2026-09-26) | ||
| Artificial Analysis Intelligence Index [xhigh] (2026-09-26) | 39.6 | Not verifiedUnverified |
| Artificial Analysis Intelligence Index (2026-09-26) | ||
| Artificial Analysis Intelligence Index (2026-09-26) | Not verifiedUnverified | 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
Muse Spark 1.2: $1.25/$4.25 per MTok on Meta's Model API (Standard tier shared with Muse Spark 1.3; cached input $0.15). Closed weights.
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.
Muse Spark 1.2
Muse Spark 1.2 is Meta's closed frontier model until the 1.3 refresh (2026-09-02) — still served and ranked in the LMArena text top 10 as of mid-2026.
Best for
- Frontier reasoning
- Meta ecosystem
- Agentic work
Watch out
Closed-weights (unlike Llama 4); Meta's post-Llama-4 frontier branding.
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
Xiaomi MiMo-V2.6-Pro is cheaper on output at $0.87 per million tokens against $4.25 for Muse Spark 1.2 — about 4.9×. 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.
- Muse Spark 1.2: Meta — Muse (accessed 2026-08-29)
- Muse Spark 1.2: Muse version tracking (accessed 2026-08-29)
- Muse Spark 1.2: Meta Model API — pricing and rate limits (Standard tier $1.25/$4.25) (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)
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Diving deeper on one model? Muse Spark 1.2 · Xiaomi MiMo-V2.6-Pro
Common questions
Muse Spark 1.2 vs Xiaomi MiMo-V2.6-Pro
Answered from the verified figures on this page rather than general guidance.
Is Muse Spark 1.2 or Xiaomi MiMo-V2.6-Pro cheaper for input?
Is Muse Spark 1.2 or Xiaomi MiMo-V2.6-Pro cheaper for output?
Which has the larger context window, Muse Spark 1.2 or Xiaomi MiMo-V2.6-Pro?
Should I use Muse Spark 1.2 or Xiaomi MiMo-V2.6-Pro?
Can I self-host Muse Spark 1.2 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.
- Input price: Xiaomi MiMo-V2.6-Pro costs $0.435 per 1M tokens versus $1.25 for Muse Spark 1.2 — a 2.9x difference at the headline tier.
- Measured capability: Xiaomi MiMo-V2.6-Pro leads Artificial Analysis Intelligence Index 46.3 to 39.6 (measured 2026-09-26).
- Deployment: Xiaomi MiMo-V2.6-Pro publishes weights you can self-host; the other is API-only.
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.