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AI Choice Engine

Model comparison

Mistral Medium 3.5 vs Qwen 3.7 Max

Mistral against Qwen, 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

vs

Qwen

Qwen 3.7 Max

Frontier

AI model capability comparison
SpecificationMistral Medium 3.5Qwen 3.7 Max
ProviderMistralQwen
TierFrontierFrontier
Context window262KWinner: 1M
Max outputNot verifiedUnverified128K
Input / 1M tokensWinner: $1.50$2.50
Output / 1M tokens$7.50$7.50
WeightsOpenClosed
Parameters128B denseproprietary MoE
Reasoning levelsNot verifiedUnverifiedlow, high, max
Modalitiestext, imagetext, image, video
LicenseModified MITNot disclosedUnverified
API model idmistral-medium-3-5qwen3.7-max
ReleasedApril 28, 2026May 20, 2026
Artificial Analysis Intelligence Index (2026-09-26)14.2Winner: 29.5

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.

  • 2026-09-26
    Artificial 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.

Qwen 3.7 Max: Model Studio list $2.50/$7.50 per MTok; a 50%-off promo ($1.25/$3.75) ran at launch. Closed API.

FrontierOpen weightsRecord checked September 26, 2026

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.

FrontierRecord checked September 26, 2026

Qwen 3.7 Max

Qwen 3.7 Max is Alibaba's previous-generation proprietary flagship with a 1M-token context.

Best for

  • API-only multimodal
  • Long-context
  • Enterprise

Watch out

Model Studio now lists it under legacy models ('no longer recommended'); succeeded by Qwen 3.8 Max. Closed weights.

When the cheaper one wins

Both charge $7.50 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 picker

Evidence 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.

Common questions

Mistral Medium 3.5 vs Qwen 3.7 Max

Answered from the verified figures on this page rather than general guidance.

Is Mistral Medium 3.5 or Qwen 3.7 Max cheaper for input?
Mistral Medium 3.5 is cheaper at $1.50 per million input tokens, against $2.50 for Qwen 3.7 Max — roughly 1.7× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Mistral Medium 3.5 has tiered pricing: 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. Qwen 3.7 Max has tiered pricing: Model Studio list $2.50/$7.50 per MTok; a 50%-off promo ($1.25/$3.75) ran at launch. Closed API.
Is Mistral Medium 3.5 or Qwen 3.7 Max cheaper for output?
Both cost $7.50 per million output tokens at standard rates, so output price is not a deciding factor between them.
Which has the larger context window, Mistral Medium 3.5 or Qwen 3.7 Max?
Qwen 3.7 Max accepts 1M tokens against 262K for Mistral Medium 3.5. This only matters if you routinely send very long documents or large codebases.
Should I use Mistral Medium 3.5 or Qwen 3.7 Max?
Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. Mistral Medium 3.5 suits eu-hosted frontier work; Qwen 3.7 Max suits api-only multimodal.
Can I self-host Mistral Medium 3.5 or Qwen 3.7 Max?
Mistral Medium 3.5 publishes open weights, but self-hosting and third-party provider access depend on the licence, hardware, serving support, and availability. Qwen 3.7 Max is a closed model whose supported access paths are controlled by its provider.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Input price: Mistral Medium 3.5 costs $1.50 per 1M tokens versus $2.50 for Qwen 3.7 Max — a 1.7x difference at the headline tier.
  • Context: Qwen 3.7 Max takes 1M against 262K for Mistral Medium 3.5 — only decisive if your prompts approach the smaller window.
  • Measured capability: Qwen 3.7 Max leads Artificial Analysis Intelligence Index 29.5 to 14.2 (measured 2026-09-26).
  • Deployment: Mistral Medium 3.5 publishes weights you can self-host; the other is API-only.

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