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 | Meta | Moonshot | Mistral AI | Qwen |
|---|---|---|---|---|
| LiveBench 1.0General reasoning | Not in our dataset | Not in our dataset | Not in our dataset | 53.5% |
| GPQA DiamondScientific knowledge | 49.4% | Not in our dataset | 46.0% | 39.3% |
| MMLU ProMulti-task understanding | 63.5% | Not in our dataset | 66.8% | Not in our dataset |
| AIME 2025Mathematics | Not in our dataset | Not in our dataset | Not in our dataset | 20.9% |
| LiveCodeBenchCompetitive coding | Not in our dataset | Not in our dataset | Not in our dataset | 22.8% |
| Terminal-BenchAgentic terminal | Not in our dataset | 27.8% | Not in our dataset | Not in our dataset |
Pricing & context Published USD rates per 1M tokens
| Specification | Llama 4 Maverick Base (Non-thinking) | Kimi K2 Instruct | MistralAI Small 3 | 3 8B Non-thinking |
|---|---|---|---|---|
| Input | $0.188 | $0.57 | $0.075 | $0.117 |
| Output | $0.652 | $2.3 | $0.2 | $0.455 |
| Context window | 524K | 131K | 256K | 131K |
| 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.