Standard Compute
Model comparison 2026

Mistral Large 4 vs Qwen3.7 Plus

Mistral Large 4
Mistral · Balanced · Open weights
$1.10/1M · 1.0M ctx
Qwen3.7 Plus
Alibaba (Qwen) · Balanced · Proprietary
$0.61/1M · 1M ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

Output Quality
Correctness and depth of what it produces
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
Speed
Tokens per second and time-to-first-token
Value for money
How much capability you get per dollar
Reliability
Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
Mistral Large 4
Qwen3.7 Plus
Maker
Mistral
Alibaba (Qwen)
Blended price / 1M
$1.10
$0.61
Input / output
$0.68 in · $2.09 out / 1M tokens
$0.32 in · $1.28 out / 1M tokens
Context window
1.0M
1M
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.6
5.7
Agentic Ability
7.1
4.7
Speed
7.0
6.4
Value for money
5.9
6.3
Reliability
8.8
8.4

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: Mistral Large 4 or Qwen3.7 Plus?

Updated 2026-10-13

Choose Mistral Large 4 if you want open-weight, EU-provenance agent work that needs long context and image input. Choose Qwen3.7 Plus if you want simple, long-context calls on a budget.

In our editorial scoring, Mistral Large 4 leads in 4 of five dimensions (output quality, agentic ability, speed and reliability), while Qwen3.7 Plus leads in 1. On price, Mistral Large 4 runs about $1.10 per 1M tokens (blended) and is open-weight; Qwen3.7 Plus is about $0.61 and proprietary.

Where Mistral Large 4 falls short
  • Still a public preview, so behavior and price can change
  • 26.8% in Artificial Analysis's Terminal-Bench 4.0 run, well below the frontier models
Full Mistral Large 4 breakdown →
Where Qwen3.7 Plus falls short
  • Weak on long agentic tasks (1.0% in Artificial Analysis's Terminal-Bench 4.0 run)
  • About 55 output tokens/s, per Artificial Analysis
Full Qwen3.7 Plus breakdown →

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