Model comparison 2026

GPT-6 Sol vs Mistral Large 4

GPT-6 Sol
OpenAI · Balanced · Proprietary
$4.40/1M · 1.1M 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
GPT-6 Sol
Mistral Large 4
Maker
OpenAI
Mistral
Blended price / 1M
$4.40
$1.10
Input / output
$2.00 in · $10 out / 1M tokens
$0.68 in · $2.09 out / 1M tokens
Context window
1.1M
1.0M
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.7
7.6
Agentic Ability
8.8
7.1
Speed
8.2
7.0
Value for money
5.6
5.9
Reliability
9.2
8.8

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

Verdict: GPT-6 Sol or Mistral Large 4?

Updated 2026-10-13

Choose GPT-6 Sol if you want existing GPT-6 Sol setups and calls that need no-reasoning mode. Choose Mistral Large 4 if you want open-weight, EU-provenance agent work that needs long context and image input.

In our editorial scoring, GPT-6 Sol leads in 4 of five dimensions (output quality, agentic ability, speed and reliability), while Mistral Large 4 leads in 1. On price, GPT-6 Sol runs about $4.40 per 1M tokens (blended) and is proprietary; Mistral Large 4 is about $1.10 and open-weight.

Where GPT-6 Sol falls short
  • Superseded by GPT-6.1 Sol, which scores higher at the same list price
  • Cached input costs $0.20 per million, twice GPT-6.1 Sol, so it costs more per request
Full GPT-6 Sol 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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