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Model comparison

GPT-OSS 20B vs Qwen3 Max

Data verified

Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

42.74/100
Margin
5.4pts
winning →
Alibaba
48.16/100
0 category wins0 category wins

Public leaderboard positions: GPT-OSS 20B #159 (Supported); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-OSS 20B and Qwen3 Max share 12 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to GPT-OSS 20B; 2 to Qwen3 Max.

Updated July 23, 2026
Shared results
12
GPT-OSS 20B only
6
Qwen3 Max only
2
Comparable categories
0 / 8

Benchmark data for GPT-OSS 20B and Qwen3 Max is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Qwen3 Max has the larger context window at 1M, compared with 128K for GPT-OSS 20B.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-OSS 20BQwen3 MaxComparison
Input / output priceUSD per 1M tokensGPT-OSS 20B$0 input / $0 outputQwen3 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-OSS 20B313 tok/sQwen3 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-OSS 20B0.65 sQwen3 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-OSS 20B128KQwen3 Max1MQwen3 Max lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-OSS 20BQwen3 MaxResult
AA Agentic IndexSource 3.1%Not comparable
APEX-Agents-AASource 0.7%Not comparable
τ²-bench resultsSource 60.2%74.3%Qwen3 Max leads
GDPval-AASource 3.0%Not comparable
GDPval-AASource 559Not comparable
Gert LabsSource 43.74%Not comparable
Coding
BenchmarkGPT-OSS 20BQwen3 MaxResult
React Native EvalsSource 71%Not comparable
AA Coding IndexSource 20.7%Not comparable
AA-SciCodeSource 34.4%38.3%Qwen3 Max leads
Vibe Code BenchSource 3.51%Not comparable
Reasoning
BenchmarkGPT-OSS 20BQwen3 MaxResult
AA-LCRSource 30.7%46.7%Qwen3 Max leads
CritPtSource 1.4%0.0%GPT-OSS 20B leads
Knowledge
BenchmarkGPT-OSS 20BQwen3 MaxResult
Artificial Analysis Intelligence IndexSource 14.9%24.0%Qwen3 Max leads
AA-GPQA DiamondSource 68.8%76.4%Qwen3 Max leads
AA-HLESource 9.8%11.1%Qwen3 Max leads
AA-Omniscience IndexSource -63.9%-43.1%Qwen3 Max leads
AA-Omniscience AccuracySource 15.5%24.4%Qwen3 Max leads
AA-Omniscience Hallucination RateSource 94.1%89.4%Qwen3 Max leads
Multimodal
BenchmarkGPT-OSS 20BQwen3 MaxResult
Design Arena WebsiteSource 8821148Qwen3 Max leads
Inst. Following
BenchmarkGPT-OSS 20BQwen3 MaxResult
AA-IFBenchSource 65.1%44.1%GPT-OSS 20B leads
Frequently Asked Questions (3)

Can I compare GPT-OSS 20B and Qwen3 Max on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for GPT-OSS 20B and Qwen3 Max today?

GPT-OSS 20B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 23, 2026

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