Standard Compute
Model comparison 2026

Grok 4.7 vs Mistral Large 4

Grok 4.7
xAI · Balanced · Proprietary
$3.20/1M · 500K 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
Grok 4.7
Mistral Large 4
Maker
xAI
Mistral
Blended price / 1M
$3.20
$1.10
Input / output
$2.00 in · $6.00 out / 1M tokens
$0.68 in · $2.09 out / 1M tokens
Context window
500K
1.0M
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.6
7.6
Agentic Ability
7.9
7.1
Speed
7.3
7.0
Value for money
4.8
5.9
Reliability
8.6
8.8

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

Verdict: Grok 4.7 or Mistral Large 4?

Updated 2026-10-13

Choose Grok 4.7 if you want output-heavy agent work with prompts under 200K tokens. Choose Mistral Large 4 if you want open-weight, EU-provenance agent work that needs long context and image input.

In our editorial scoring, Grok 4.7 leads in 3 of five dimensions (output quality, agentic ability and speed), while Mistral Large 4 leads in 2. On price, Grok 4.7 runs about $3.20 per 1M tokens (blended) and is proprietary; Mistral Large 4 is about $1.10 and open-weight.

Where Grok 4.7 falls short
  • Costs more per request than Sonnet 5.5 or GPT-6.1 Sol ($0.13 vs $0.053 and $0.067)
  • Prompts of 200K tokens or more cost double
Full Grok 4.7 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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