Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
GPT-5.6 Sol vs Mistral Large 4: benchmark scores, pricing & comparison.
Side-by-side GPT-5.6 Sol 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: GPT-5.6 Sol ranks higher (#8 vs #30) and wins 3 of 4 shared benchmarks; Mistral Large 4 costs less ($0.68/$2.09 vs $5.00/$30.0 per 1M tokens).
Rank #8 vs #30AskClash overall scores 70.7 vs 52.5.
Pricing $5.00/$30.0 vs $0.68/$2.09Input and output token prices per 1M tokens when published.
Proprietary vs PendingOpenAI vs Mistral.
GPT-5.6 Sol vs Mistral Large 4 benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | GPT-5.6 Sol | Mistral Large 4 |
|---|---|---|
| Overall Score | 70.7 | 52.5 |
| Leaderboard Rank | #8 | #30 |
| ACB | 63.2 | — |
| RWT | 9.5 | — |
| Coding Agent Index | 80.0 | — |
| HLE | 47.2 | 35.0 |
| GPQA | 94.1 | — |
| IFEval | 72.7 | — |
| SWE-Pro | 64.6 | — |
| SWE-Atlas | 84.0 | — |
| Terminal-Bench | 39.9 | — |
| DeepSWE | 72.7 | — |
| GDPval-AA | 1748.0 | 1423.9 |
| Finance Agent | 53.8 | 54.7 |
| MMMU-Pro | 83.0 | 76.4 |
| ARC-AGI 2 | 92.5 | — |
| Tau2 | 85.1 | — |
| MRCR | 91.5 | — |
| Input Price (per 1M tokens) | $5.00 | $0.68 |
| Output Price (per 1M tokens) | $30.0 | $2.09 |
| Context Window | 1M | 1M |
| Benchmarks Published | 15 | 7 |
GPT-5.6 Sol vs Mistral Large 4 head-to-head charts
GPT-5.6 Sol leads 4 and Mistral Large 4 leads 1 of 5 shared benchmarks. Mistral Large 4 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
GPT-5.6 SolMistral Large 4
Overall
HLE
GDPval-AA
Finance Agent
MMMU-Pro
GPT-5.6 Sol
Input$5.00
Output$30.0
Workload$11
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 GPT-5.6 Sol and Mistral Large 4 comparisons
Explore how GPT-5.6 Sol and Mistral Large 4 stack up against other top-ranked LLMs.
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How to read this comparison
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.