Standard Compute
Model comparison 2026

GPT-5.6 Terra vs Mistral Large 4

GPT-5.6 Terra
OpenAI · Balanced · Proprietary
$5.00/1M · 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-5.6 Terra
Mistral Large 4
Maker
OpenAI
Mistral
Blended price / 1M
$5.00
$1.10
Input / output
$2.00 in · $12 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
8.0
7.6
Agentic Ability
7.8
7.1
Speed
8.4
7.0
Value for money
5.2
5.9
Reliability
9.2
8.8

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

Verdict: GPT-5.6 Terra or Mistral Large 4?

Updated 2026-10-13

Choose GPT-5.6 Terra if you want fast mid-tier work in existing GPT-5.6 setups. 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-5.6 Terra leads in 4 of five dimensions (output quality, agentic ability, speed and reliability), while Mistral Large 4 leads in 1. On price, GPT-5.6 Terra runs about $5.00 per 1M tokens (blended) and is proprietary; Mistral Large 4 is about $1.10 and open-weight.

Where GPT-5.6 Terra falls short
  • GPT-6.1 Sol scores higher and costs less per request ($0.067 vs $0.084)
  • Prompts over 272K tokens bill at higher rates
Full GPT-5.6 Terra 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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