Compare models. Find the differences.
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Benchmark snapshot
0 benchmarks in common.
4 models selected. 0 benchmarks in common.
Reported scores; test settings may differ.
| Benchmark | OpenAI | Mistral AI | NVIDIA | MiniMax |
|---|---|---|---|---|
| Arena ELOHuman preference | 1,389 | Not in our dataset | 1,360 | Not in our dataset |
| GPQA DiamondScientific knowledge | Not in our dataset | 68.2% | Not in our dataset | 69.2% |
| HLEAcademic reasoning | Not in our dataset | Not in our dataset | 18.3% | 7.2% |
| MMLU ProMulti-task understanding | Not in our dataset | Not in our dataset | 83.7% | 80.6% |
| SimpleBenchCommonsense reasoning | 41.7% | Not in our dataset | Not in our dataset | Not in our dataset |
| AIME 2025Mathematics | Not in our dataset | 62.8% | Not in our dataset | 74.6% |
| SWE-Bench VerifiedAgentic coding | Not in our dataset | Not in our dataset | Not in our dataset | 55.6% |
| LiveCodeBenchCompetitive coding | Not in our dataset | 55.4% | Not in our dataset | Not in our dataset |
| Tau-BenchAgentic tool use | Not in our dataset | Not in our dataset | 62.8% | 67.8% |
| ARC-AGI-2Visual reasoning | Not in our dataset | 0.0% | Not in our dataset | Not in our dataset |
Pricing & context Published USD rates per 1M tokens
| Specification | o1 Preview | MistralAI Magistral Small Thinking | Nemotron 3 Super 120B-A12B | M1 Reasoning 40K |
|---|---|---|---|---|
| Input | $15 | $0.5 | $0.3 | $0.55 |
| Output | $60 | $1.5 | $2.4 | $2.2 |
| Context window | 200K | 40K | 1.0M | 1.0M |
| Pricing details | Explore pricing → | Explore pricing → | Explore pricing → | Explore pricing → |
How to read this comparison
Each column keeps the exact model version you selected. Shared benchmarks are the intersection of their reported results; “all coverage” also shows where evidence is missing. Missing results never count as zero.
These are published benchmark scores, not a controlled head-to-head test. The available evidence does not establish matching evaluation settings, so we show no cross-model winner highlights or deltas. Composite quality scores are omitted because they can summarize different benchmark sets.
Scores and statistics are computed upstream. This page reads a fixed data snapshot; its date describes the snapshot, not the date of every measurement.