Standard Compute
Model comparison 2026

GPT-6.1 Sol vs Mistral Large 3

GPT-6.1 Sol
OpenAI · Balanced · Proprietary
$4.40/1M · 1.1M ctx
Mistral Large 3
Mistral · Balanced · Open weights
$0.80/1M · 262K 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-6.1 Sol
Mistral Large 3
Maker
OpenAI
Mistral
Blended price / 1M
$4.40
$0.80
Input / output
$2.00 in · $10 out / 1M tokens
$0.50 in · $1.50 out / 1M tokens
Context window
1.1M
262K
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
No
Output Quality
9.6
8.0
Agentic Ability
9.7
7.8
Speed
7.0
8.0
Value for money
9.0
8.9
Reliability
9.3
8.6

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

Verdict: GPT-6.1 Sol or Mistral Large 3?

Updated 2026-10-13

Choose GPT-6.1 Sol if you want the default OpenAI model for coding agents, from routine changes to hard tasks. Choose Mistral Large 3 if you want general-purpose open-weight agent work, especially in the EU.

In our editorial scoring, GPT-6.1 Sol leads in 4 of five dimensions (output quality, agentic ability, value for money and reliability), while Mistral Large 3 leads in 1. On price, GPT-6.1 Sol runs about $4.40 per 1M tokens (blended) and is proprietary; Mistral Large 3 is about $0.80 and open-weight.

Where GPT-6.1 Sol falls short
  • Slower than GPT-6 Sol at max effort (about 65 output tokens/s)
  • Prompts over 272K tokens are billed at higher rates
Full GPT-6.1 Sol breakdown →
Where Mistral Large 3 falls short
  • Below the very top models
  • Less agent-community momentum than GLM/Qwen
Full Mistral Large 3 breakdown →

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