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 | Google | Anthropic | xAI | OpenAI |
|---|---|---|---|---|
| Arena ELOHuman preference | 1,438 | 1,456 | 1,430 | Not in our dataset |
| GPQA DiamondScientific knowledge | 82.3% | 83.4% | 84.3% | Not in our dataset |
| HLEAcademic reasoning | 8.7% | 17.7% | 17.6% | Not in our dataset |
| MMLU ProMulti-task understanding | 82.6% | 87.5% | Not in our dataset | Not in our dataset |
| SimpleBenchCommonsense reasoning | Not in our dataset | 54.3% | Not in our dataset | Not in our dataset |
| AIME 2025Mathematics | Not in our dataset | 87.0% | Not in our dataset | Not in our dataset |
| GSOGraduate science | Not in our dataset | 14.7% | Not in our dataset | Not in our dataset |
| SWE-Bench VerifiedAgentic coding | Not in our dataset | 77.2% | Not in our dataset | 74.5% |
| LiveCodeBenchCompetitive coding | 77.1% | Not in our dataset | 76.5% | Not in our dataset |
| Tau-BenchAgentic tool use | Not in our dataset | 86.2% | Not in our dataset | Not in our dataset |
| Terminal-BenchAgentic terminal | Not in our dataset | 42.8% | Not in our dataset | 43.4% |
| ARC-AGI-2Visual reasoning | Not in our dataset | 13.6% | 5.3% | Not in our dataset |
Pricing & context Published USD rates per 1M tokens
| Specification | Gemma 4 26B A4B IT Thinking | Claude Sonnet 4 4.5 Thinking | Grok 4 Fast Thinking | GPT-5 Codex Non-thinking |
|---|---|---|---|---|
| Input | $0.095 | $3 | $0.2 | $0.625 |
| Output | $0.284 | $15 | $0.5 | $5 |
| Context window | 262K | 1.0M | 2.0M | 400K |
| 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.