Model comparison
Mistral Medium 3.5 vs Muse Spark 1.2
Mistral against Meta, 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
Meta
Muse Spark 1.2
Frontier
| Specification | Mistral Medium 3.5 | Muse Spark 1.2 |
|---|---|---|
| Provider | ||
| Provider | Mistral | Meta |
| Tier | ||
| Tier | Frontier | Frontier |
| Context window | ||
| Context window | 262K | Winner: 1.05M |
| Max output | ||
| Max output | Not verifiedUnverified | Not verifiedUnverified |
| Input / 1M tokens | ||
| Input / 1M tokens | $1.50 | Winner: $1.25 |
| Output / 1M tokens | ||
| Output / 1M tokens | $7.50 | Winner: $4.25 |
| Weights | ||
| Weights | Open | Closed |
| Parameters | ||
| Parameters | 128B dense | Meta frontier model |
| Reasoning levels | ||
| Reasoning levels | Not verifiedUnverified | minimal, low, medium, high, xhigh, max |
| Modalities | ||
| Modalities | text, image | text, image, video, audio, pdf |
| License | ||
| License | Modified MIT | Not disclosedUnverified |
| API model id | ||
| API model id | mistral-medium-3-5 | muse-spark-1.2 |
| Released | ||
| Released | April 28, 2026 | August 5, 2026 |
| Artificial Analysis Intelligence Index (2026-09-26) | ||
| Artificial Analysis Intelligence Index (2026-09-26) | 14.2 | Not verifiedUnverified |
| Artificial Analysis Intelligence Index [xhigh] (2026-09-26) | ||
| Artificial Analysis Intelligence Index [xhigh] (2026-09-26) | Not verifiedUnverified | 39.6 |
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.
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.
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.
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.
When the cheaper one wins
Muse Spark 1.2 is cheaper on output at $4.25 per million tokens against $7.50 for Mistral Medium 3.5 — about 1.8×. 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)
- 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)
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- Claude Mythos 5.1 vs Muse Spark 1.2
Diving deeper on one model? Mistral Medium 3.5 · Muse Spark 1.2
Common questions
Mistral Medium 3.5 vs Muse Spark 1.2
Answered from the verified figures on this page rather than general guidance.
Is Mistral Medium 3.5 or Muse Spark 1.2 cheaper for input?
Is Mistral Medium 3.5 or Muse Spark 1.2 cheaper for output?
Which has the larger context window, Mistral Medium 3.5 or Muse Spark 1.2?
Should I use Mistral Medium 3.5 or Muse Spark 1.2?
Can I self-host Mistral Medium 3.5 or Muse Spark 1.2?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: Muse Spark 1.2 costs $1.25 per 1M tokens versus $1.50 for Mistral Medium 3.5 — a 1.2x difference at the headline tier.
- Context: Muse Spark 1.2 takes 1.05M against 262K for Mistral Medium 3.5 — only decisive if your prompts approach the smaller window.
- Measured capability: Muse Spark 1.2 leads Artificial Analysis Intelligence Index 39.6 to 14.2 (measured 2026-09-26).
- Deployment: Mistral Medium 3.5 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.