Model Comparison 2026

Claude Opus 4.8 vs Mistral Large 3

Claude Opus 4.8
Anthropic · Frontier · Proprietary
$11/1M · 1M ctx
Mistral Large 3
Mistral · Balanced · Open weights
$0.80/1M · 262K ctx

Community Vote

Pick a winner in each dimension — change your vote anytime.

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 $
How much capability you get per dollar
Reliability
Consistent results — fewer refusals, loops, and format breaks

Specs & Pricing, Side by Side

Spec
Opus 4.8
Mistral Large 3
Maker
Anthropic
Mistral
Blended price / 1M
$11
$0.80
Input / output
$5.00 in · $25 out / 1M tokens
$0.50 in · $1.50 out / 1M tokens
Context window
1M
262K
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
No
Output Quality
9.6
8.0
Agentic Ability
9.6
7.8
Speed
7.2
8.0
Value for $
7.5
8.9
Reliability
9.5
8.6

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

Verdict: Opus 4.8 or Mistral Large 3?

Updated 2026-06-22

Choose Claude Opus 4.8 if you want hard, high-stakes coding and reasoning where quality matters more than cost. Choose Mistral Large 3 if you want general-purpose open-weight agent work, especially in the EU.

In our editorial scoring, Claude Opus 4.8 leads in 3 of five dimensions (output quality, agentic ability and reliability), while Mistral Large 3 leads in 2. On price, Claude Opus 4.8 runs about $11 per 1M tokens (blended) and is proprietary; Mistral Large 3 is about $0.80 and open-weight.

Where Opus 4.8 falls short
  • Among the most expensive models per token
  • Slower than lighter models on simple tasks
Full Opus 4.8 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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