Model comparison 2026

MiniMax M3 vs Mistral Large 4

MiniMax M3
MiniMax · Balanced · Open weights
$0.57/1M · 1.0M ctx
Mistral Large 4
Mistral · Balanced · Open weights
$1.10/1M · 1.0M 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
MiniMax M3
Mistral Large 4
Maker
MiniMax
Mistral
Blended price / 1M
$0.57
$1.10
Input / output
$0.30 in · $1.20 out / 1M tokens
$0.68 in · $2.09 out / 1M tokens
Context window
1.0M
1.0M
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
6.3
7.6
Agentic Ability
5.0
7.1
Speed
8.1
7.0
Value for money
6.8
5.9
Reliability
8.4
8.8

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

Verdict: MiniMax M3 or Mistral Large 4?

Updated 2026-10-13

Choose MiniMax M3 if you want agents that need an open-weight model with a 1M context. Choose Mistral Large 4 if you want open-weight, EU-provenance agent work that needs long context and image input.

In our editorial scoring, Mistral Large 4 leads in 3 of five dimensions (output quality, agentic ability and reliability), while MiniMax M3 leads in 2. On price, MiniMax M3 runs about $0.57 per 1M tokens (blended) and is open-weight; Mistral Large 4 is about $1.10 and open-weight.

Where MiniMax M3 falls short
  • Weak on long agentic tasks (2.0% in Artificial Analysis's Terminal-Bench 4.0 run)
  • DeepSeek V4.1 Flash scores higher for about half the cost per request
Full MiniMax M3 breakdown →
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 →

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