Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, OpenAI o1 delivers higher overall intelligence and human-preferred responses (Elo 1,512 vs 1,456), while Mistral Large 3 leads in SWE-bench software engineering benchmarks (55.4%), while Mistral Large 3 is more budget-friendly at $6/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
9 direct benchmark disciplines evaluated across capability, speed, and cost
Mistral European flagship with strong function calling.
OpenAI pioneer reasoning foundation model designed for complex science, math, and multi-step reasoning.
Simulate accuracy gains vs added response time & token cost
Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.
Δ 56 Arena Elo pts
112 tok/s
$6 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.
Category wins across reasoning intelligence, generation speed, and token cost.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
| Benchmark | Mistral Large 3 | OpenAI o1 | Advantage Delta |
|---|---|---|---|
| Preference Elo | +56 | ||
| Coding Elo | — | — | |
| LiveBench | +3.6% | ||
| SWE-bench | +6.5% | ||
| GPQA Diamond | +3.9% | ||
| Time to first token | +230 ms | ||
| Output speed | 112 tok/s | 45 tok/s | +67 tok/s |
| Input price | +$13/1M | ||
| Output price | +$54/1M | ||
| Context window | +56k |
Simulate monthly production API costs in USD (US Dollar).
Mistral Large 3 is estimated to save $1,265.00/month ($15,180/year).
Higher SWE-bench (55.4%).
Lower output list price ($6/1M).
Lower TTFT (190 ms).
Larger window (256k).
Both accept images. Defaulting to the higher-Elo side (OpenAI o1).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Mistral Large 3 | Higher SWE-bench (55.4%). |
| High-volume chat | Mistral Large 3 | Lower output list price ($6/1M). |
| Voice / low-latency UI | Mistral Large 3 | Lower TTFT (190 ms). |
| Long-document RAG | Mistral Large 3 | Larger window (256k). |
| Screenshots / vision | OpenAI o1 | Both accept images. Defaulting to the higher-Elo side (OpenAI o1). |
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Verified Head-to-Head Telemetry
