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Model comparison

Gemma 4 E4B vs GPT-OSS 20B

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

43.2/100
Margin
0.5pts
← winning
42.74/100
0 category wins0 category wins

Public leaderboard positions: Gemma 4 E4B #155 (Estimated); GPT-OSS 20B #159 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemma 4 E4B and GPT-OSS 20B share 11 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to Gemma 4 E4B; 7 to GPT-OSS 20B.

Updated July 23, 2026
Shared results
11
Gemma 4 E4B only
3
GPT-OSS 20B only
7
Comparable categories
0 / 8

Benchmark data for Gemma 4 E4B and GPT-OSS 20B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 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.

Category breakdown

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

Category scores and score margins for Gemma 4 E4B and GPT-OSS 20B
CategoryGemma 4 E4BΔGPT-OSS 20B
KnowledgeGemma 4 E4B67.4MarginNo overlapGPT-OSS 20BNot measured

Operational comparison

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

MetricGemma 4 E4BGPT-OSS 20BComparison
Input / output priceUSD per 1M tokensGemma 4 E4B$0 input / $0 outputGPT-OSS 20B$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondGemma 4 E4BNot availableGPT-OSS 20B313 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemma 4 E4BNot availableGPT-OSS 20B0.65 sA complete latency comparison is not available.
Context windowmaximum listed tokensGemma 4 E4B128KGPT-OSS 20B128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGemma 4 E4BGPT-OSS 20BResult
τ²-bench resultsSource 20.8%60.2%GPT-OSS 20B leads
AA Agentic IndexSource 3.1%Not comparable
APEX-Agents-AASource 0.7%Not comparable
GDPval-AASource 3.0%Not comparable
GDPval-AASource 559Not comparable
Coding
BenchmarkGemma 4 E4BGPT-OSS 20BResult
AA-SciCodeSource 24.4%34.4%GPT-OSS 20B leads
React Native EvalsSource 71%Not comparable
AA Coding IndexSource 20.7%Not comparable
Reasoning
BenchmarkGemma 4 E4BGPT-OSS 20BResult
AA-LCRSource 30.7%30.7%Tie
CritPtSource 0.6%1.4%GPT-OSS 20B leads
Knowledge
BenchmarkGemma 4 E4BGPT-OSS 20BResult
GPQASource 58.6%Not comparable
MMLU-ProSource 69.4%Not comparable
Artificial Analysis Intelligence IndexSource 12.5%14.9%GPT-OSS 20B leads
AA-GPQA DiamondSource 57.6%68.8%GPT-OSS 20B leads
AA-HLESource 3.7%9.8%GPT-OSS 20B leads
AA-Omniscience IndexSource -20.0%-63.9%Gemma 4 E4B leads
AA-Omniscience AccuracySource 8.6%15.5%GPT-OSS 20B leads
AA-Omniscience Hallucination RateSource 31.3%94.1%Gemma 4 E4B leads
Multimodal
BenchmarkGemma 4 E4BGPT-OSS 20BResult
AA-MMMU-ProSource 51.4%Not comparable
Design Arena WebsiteSource 882Not comparable
Inst. Following
BenchmarkGemma 4 E4BGPT-OSS 20BResult
AA-IFBenchSource 44.2%65.1%GPT-OSS 20B leads
Frequently Asked Questions (3)

Can I compare Gemma 4 E4B and GPT-OSS 20B 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 Gemma 4 E4B and GPT-OSS 20B today?

Gemma 4 E4B: $0.00 input / $0.00 output per 1M tokens 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.

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Last updated: July 23, 2026

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