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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 3.5 35B A3B Thinking, GPT-5 Mini Thinking (5.4), GPT-5.2, 3.6 35B-A3B Thinking
Benchmark
Qwen
OpenAI
OpenAI
Qwen
Arena ELOHuman preference1,3941,4471,437Not in our dataset
LiveBench 1.0General reasoningNot in our dataset66.4%Not in our datasetNot in our dataset
GPQA DiamondScientific knowledge84.2%88.0%Not in our dataset86.0%
HLEAcademic reasoning22.4%28.2%27.8%21.4%
MMLU ProMulti-task understanding85.3%Not in our datasetNot in our dataset85.2%
SWE-Bench VerifiedAgentic coding69.2%Not in our datasetNot in our dataset73.4%
Terminal-BenchAgentic terminalNot in our datasetNot in our dataset54.0%Not in our dataset
ARC-AGI-2Visual reasoningNot in our dataset18.9%0.8%Not in our dataset
Pricing & context Published USD rates per 1M tokens
Specification3.5 35B A3B ThinkingGPT-5 Mini Thinking (5.4)GPT-5.23.6 35B-A3B Thinking
Input$0.14$0.25$1.75$0.1
Output$1$2$14$0.9
Context window262K400K400K262K
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.