LLM Comparison

Claude Opus 5.5 vs Mistral Large 4: benchmark scores, pricing & comparison.

Side-by-side Claude Opus 5.5 vs Mistral Large 4 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Verdict: Claude Opus 5.5 ranks higher (#1 vs #30) and wins 4 of 4 shared benchmarks; Mistral Large 4 costs less ($0.68/$2.09 vs $4.00/$20.0 per 1M tokens).

Rank #1 vs #30AskClash overall scores 81.0 vs 52.5.
Pricing $4.00/$20.0 vs $0.68/$2.09Input and output token prices per 1M tokens when published.
Proprietary vs PendingAnthropic vs Mistral.

Claude Opus 5.5 vs Mistral Large 4 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricClaude Opus 5.5Mistral Large 4
Overall Score81.052.5
Leaderboard Rank#1#30
ACB76.5—
HLE67.735.0
SWE-Pro89.9—
Terminal-Bench59.6—
DeepSWE74.2—
GDPval-AA1846.21423.9
Finance Agent58.654.7
MMMU-Pro87.776.4
ARC-AGI 291.7—
Input Price (per 1M tokens)$4.00$0.68
Output Price (per 1M tokens)$20.0$2.09
Context Window1M1M
Benchmarks Published127

Claude Opus 5.5 vs Mistral Large 4 head-to-head charts

Claude Opus 5.5 leads 5 and Mistral Large 4 leads 0 of 5 shared benchmarks. Mistral Large 4 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Claude Opus 5.5Mistral Large 4
Overall
81.0Claude Opus 5.5
52.5Mistral Large 4
HLE
67.7Claude Opus 5.5
35.0Mistral Large 4
GDPval-AA
1846.2Claude Opus 5.5
1423.9Mistral Large 4
Finance Agent
58.6Claude Opus 5.5
54.7Mistral Large 4
MMMU-Pro
87.7Claude Opus 5.5
76.4Mistral Large 4
Claude Opus 5.5
Input$4.00
Output$20.0
Workload$8.00
Context1M
Mistral Large 4
Input$0.68
Output$2.09
Workload$1.10
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Claude Opus 5.5 and Mistral Large 4 comparisons

Explore how Claude Opus 5.5 and Mistral Large 4 stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.