Compare models. Find the differences.
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Benchmark snapshot
2 benchmarks in common.
4 models selected. 2 benchmarks in common.
Reported scores; test settings may differ.
| Benchmark | Google | OpenAI | xAI | MiniMax |
|---|---|---|---|---|
| Arena ELOHuman preference | Not in our dataset | Not in our dataset | Not in our dataset | 1,385 |
| GPQA DiamondScientific knowledge | 78.8% | 80.1% | 79.0% | 83.0% |
| HLEAcademic reasoning | 5.2% | 14.9% | 11.0% | 22.2% |
| MMLU ProMulti-task understanding | 77.2% | 80.8% | Not in our dataset | Not in our dataset |
| SimpleBenchCommonsense reasoning | Not in our dataset | Not in our dataset | Not in our dataset | 34.7% |
| AIME 2025Mathematics | Not in our dataset | Not in our dataset | 83.0% | 83.0% |
| AiderCode editing | Not in our dataset | 41.8% | Not in our dataset | Not in our dataset |
| SWE-Bench VerifiedAgentic coding | Not in our dataset | 62.0% | Not in our dataset | Not in our dataset |
| LiveCodeBenchCompetitive coding | 72.0% | Not in our dataset | Not in our dataset | Not in our dataset |
| Terminal-BenchAgentic terminal | Not in our dataset | Not in our dataset | Not in our dataset | 29.2% |
| ARC-AGI-2Visual reasoning | Not in our dataset | Not in our dataset | 0.4% | Not in our dataset |
Pricing & context Published USD rates per 1M tokens
| Specification | Gemma 4 12B IT Thinking | GPT-OSS 120B Thinking | Grok 3 Mini | M2 M2.1 |
|---|---|---|---|---|
| Input | Not available | $0.03 | $0.3 | $0.3 |
| Output | Not available | $0.136 | $0.5 | $1.2 |
| Context window | Not available | 131K | 131K | 205K |
| 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.