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Benchmark snapshot

1 benchmarks in common.

4 models selected. 1 benchmarks in common.

Reported scores; test settings may differ.

Reported benchmark results for MistralAI Small 3, 3 8B Non-thinking, Qwen3-4B (Thinking) Non-thinking, v3 Base
Benchmark
Mistral AI
Qwen
Qwen
DeepSeek
LiveBench 1.0General reasoningNot in our dataset53.5%48.4%Not in our dataset
GPQA DiamondScientific knowledge46.0%39.3%41.7%50.5%
MMLU ProMulti-task understanding66.8%Not in our dataset69.6%60.6%
AIME 2025MathematicsNot in our dataset20.9%19.1%Not in our dataset
LiveCodeBenchCompetitive codingNot in our dataset22.8%21.3%Not in our dataset
Pricing & context Published USD rates per 1M tokens
SpecificationMistralAI Small 33 8B Non-thinkingQwen3-4B (Thinking) Non-thinkingv3 Base
Input$0.075$0.117$0$0.257
Output$0.2$0.455$0$1.029
Context window256K131K41K164K
Pricing detailsExplore 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.