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 | xAI | Qwen | Anthropic | Google |
|---|---|---|---|---|
| Arena ELOHuman preference | 1,411 | Not in our dataset | 1,414 | 1,433 |
| LiveBench 1.0General reasoning | Not in our dataset | 67.1% | 74.6% | Not in our dataset |
| GPQA DiamondScientific knowledge | 80.2% | 62.0% | 74.9% | 86.9% |
| HLEAcademic reasoning | Not in our dataset | Not in our dataset | 6.7% | 16.0% |
| MMLU ProMulti-task understanding | Not in our dataset | Not in our dataset | 86.6% | Not in our dataset |
| SimpleBenchCommonsense reasoning | 36.1% | Not in our dataset | 58.8% | Not in our dataset |
| AIME 2025Mathematics | 77.3% | 67.3% | 33.9% | Not in our dataset |
| AiderCode editing | 53.3% | Not in our dataset | 70.7% | Not in our dataset |
| SWE-Bench VerifiedAgentic coding | Not in our dataset | Not in our dataset | 72.5% | Not in our dataset |
| LiveCodeBenchCompetitive coding | 70.6% | 57.5% | 46.9% | 72.0% |
| Tau-BenchAgentic tool use | Not in our dataset | Not in our dataset | 81.8% | Not in our dataset |
| ARC-AGI-2Visual reasoning | 0.0% | Not in our dataset | 1.3% | Not in our dataset |
Pricing & context Published USD rates per 1M tokens
| Specification | Grok 3 Thinking | 3 8B Thinking | Claude Opus 4 4.0 Non-thinking | Gemini 3.1 Flash Lite Latest |
|---|---|---|---|---|
| Input | $3 | $0.117 | $15 | $0.25 |
| Output | $15 | $0.455 | $75 | $1.5 |
| Context window | 131K | 131K | 200K | Not available |
| 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.