Model comparison
Muse Spark 1.3 vs Xiaomi MiMo-V2.5-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 1.3
Frontier
Xiaomi
Xiaomi MiMo-V2.5-Pro
Frontier · Open weights
| Specification | Muse Spark 1.3 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Provider | ||
| Provider | Meta | Xiaomi |
| Tier | ||
| Tier | Frontier | Frontier |
| Context window | ||
| Context window | Winner: 1.05M | 1M |
| Max output | ||
| Max output | 131K | 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 | low, high, max |
| Modalities | ||
| Modalities | text, image, video, audio, pdf | text, image |
| License | ||
| License | Not disclosedUnverified | MIT |
| API model id | ||
| API model id | muse-spark-1.3 | mimo-v2-5-pro |
| Released | ||
| Released | September 2, 2026 | April 22, 2026 |
| Artificial Analysis Intelligence Index [max] (2026-09-26) | ||
| Artificial Analysis Intelligence Index [max] (2026-09-26) | 48.1 | Not verifiedUnverified |
| Artificial Analysis Intelligence Index (2026-09-26) | ||
| Artificial Analysis Intelligence Index (2026-09-26) | Not verifiedUnverified | 26 |
| DeepSWE 1.1 (2026-09-02) | ||
| DeepSWE 1.1 (2026-09-02) | 75.4 | Not verifiedUnverified |
| Terminal-Bench 2.1 (2026-09-03) | ||
| Terminal-Bench 2.1 (2026-09-03) | 88.8 | Not verifiedUnverified |
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.
- 2026-09-03Meta launch table (transcribed by explainx.ai) (Vendor self-report; absent from the official tbench.ai leaderboard)
Agentic terminal work: multi-step tasks executed in a sandboxed shell environment.
Comparable with caveatNot comparable with Terminal-Bench 3.0 or 4.0 (different task sets) or v1; harness configuration (container, time limits) also shifts results.
- 2026-09-02Meta launch table (Thinking mode: max — self-reported; not broadly available and NOT on the official Datacurve leaderboard)
Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.
Directly comparable
Pricing tiers
Muse Spark 1.3: $1.25/$4.25 per MTok on Meta's Model API (Standard tier; cached input $0.15); a $0.10/$0.20 'contributor' tier applies when your data is used for training. Meta's pricing page lists no long-context premium and no scheduled price change.
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.
Muse Spark 1.3
Muse Spark 1.3 is Meta's September 2026 frontier refresh — a self-reported DeepSWE 1.1 field leader at $1.25/$4.25, with a 1M-token context aimed at autonomous agent workflows.
Best for
- Long-horizon coding agents
- Frontier quality below frontier pricing
- Meta ecosystem
Watch out
The headline 75.4% DeepSWE score comes from the 'max' thinking mode, which is not broadly available yet and is pending independent verification. The 131,072 output cap is per third-party API docs — Meta's own spec page does not publish it. Closed weights.
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 $4.25 for Muse Spark 1.3 — 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.
- 4/5 core specs verified on both sides — Not published for at least one side: max output.
- 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 1.3: Meta — Introducing Muse Spark 1.3 (accessed 2026-09-03)
- Muse Spark 1.3: Meta developer — Muse Spark pricing ($1.25/$4.25) (accessed 2026-09-03)
- Muse Spark 1.3: VentureBeat — Muse Spark 1.3 best results need a config developers can't broadly use yet (accessed 2026-09-03)
- Muse Spark 1.3: HaiMaker — muse-spark-1.3 (131,072 max output tokens) (accessed 2026-09-05)
- Muse Spark 1.3: Promptfoo — Meta provider docs (muse-spark-1.3 max_tokens ceiling) (accessed 2026-09-05)
- Muse Spark 1.3: Meta Model API — pricing and rate limits ($1.25/$4.25, cached $0.15) (accessed 2026-09-26)
- Muse Spark 1.3: Meta Model API — models (1,048,576 context; text/image/video/audio/PDF input) (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)
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- Claude Fable 5 vs Xiaomi MiMo-V2.5-Pro
- Claude Mythos 5.1 vs Muse Spark 1.3
- Claude Mythos 5.1 vs Xiaomi MiMo-V2.5-Pro
Diving deeper on one model? Muse Spark 1.3 · Xiaomi MiMo-V2.5-Pro
Common questions
Muse Spark 1.3 vs Xiaomi MiMo-V2.5-Pro
Answered from the verified figures on this page rather than general guidance.
Is Muse Spark 1.3 or Xiaomi MiMo-V2.5-Pro cheaper for input?
Is Muse Spark 1.3 or Xiaomi MiMo-V2.5-Pro cheaper for output?
Which has the larger context window, Muse Spark 1.3 or Xiaomi MiMo-V2.5-Pro?
Do Muse Spark 1.3 and Xiaomi MiMo-V2.5-Pro support the same reasoning levels?
Should I use Muse Spark 1.3 or Xiaomi MiMo-V2.5-Pro?
Can I self-host Muse Spark 1.3 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 $1.25 for Muse Spark 1.3 — a 2.9x difference at the headline tier.
- Context: Muse Spark 1.3 takes 1.05M against 1M for Xiaomi MiMo-V2.5-Pro — only decisive if your prompts approach the smaller window.
- Measured capability: Muse Spark 1.3 leads Artificial Analysis Intelligence Index 48.1 to 26 (measured 2026-09-26).
- Deployment: Xiaomi MiMo-V2.5-Pro publishes weights you can self-host; the other is API-only.
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