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Model comparison

Gemma 4 E2B vs GPT-4o

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.

41.82/100
Margin
0.3pts
← winning
OpenAI
41.49/100
0 category wins0 category wins

Public leaderboard positions: Gemma 4 E2B #162 (Estimated); GPT-4o #165 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemma 4 E2B and GPT-4o share 11 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to Gemma 4 E2B; 2 to GPT-4o.

Updated July 23, 2026
Shared results
11
Gemma 4 E2B only
3
GPT-4o only
2
Comparable categories
0 / 8

Benchmark data for Gemma 4 E2B and GPT-4o 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.

GPT-4o is priced at $2.50 input / $10.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 E2B.

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 E2B and GPT-4o
CategoryGemma 4 E2BΔGPT-4o
KnowledgeGemma 4 E2B56.9MarginNo overlapGPT-4oNot measured
MathGemma 4 E2BNot measuredMarginNo overlapGPT-4o0.3

Operational comparison

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

MetricGemma 4 E2BGPT-4oComparison
Input / output priceUSD per 1M tokensGemma 4 E2B$0 input / $0 outputGPT-4o$2.5 input / $10 outputGemma 4 E2B has the lower combined listed price.
Generation speedtokens per secondGemma 4 E2BNot availableGPT-4o131 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemma 4 E2BNot availableGPT-4o0.81 sA complete latency comparison is not available.
Context windowmaximum listed tokensGemma 4 E2B128KGPT-4o128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGemma 4 E2BGPT-4oResult
τ²-bench resultsSource 20.8%25.1%GPT-4o leads
Coding
BenchmarkGemma 4 E2BGPT-4oResult
AA-SciCodeSource 20.9%33.3%GPT-4o leads
Reasoning
BenchmarkGemma 4 E2BGPT-4oResult
AA-LCRSource 15.0%0.0%Gemma 4 E2B leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkGemma 4 E2BGPT-4oResult
GPQASource 43.4%Not comparable
MMLU-ProSource 60%Not comparable
Artificial Analysis Intelligence IndexSource 9.3%11.2%GPT-4o leads
AA-GPQA DiamondSource 37.5%54.3%GPT-4o leads
AA-HLESource 4.8%3.3%Gemma 4 E2B leads
AA-Omniscience IndexSource -24.0%-10.7%GPT-4o leads
AA-Omniscience AccuracySource 6.7%19.7%GPT-4o leads
AA-Omniscience Hallucination RateSource 32.9%37.9%Gemma 4 E2B leads
Math
BenchmarkGemma 4 E2BGPT-4oResult
FrontierMath v2 (Tiers 1-3)Source 0.345%Not comparable
Multimodal
BenchmarkGemma 4 E2BGPT-4oResult
AA-MMMU-ProSource 44.6%Not comparable
Design Arena WebsiteSource 861Not comparable
Inst. Following
BenchmarkGemma 4 E2BGPT-4oResult
AA-IFBenchSource 35.1%34.3%Gemma 4 E2B leads
Frequently Asked Questions (3)

Can I compare Gemma 4 E2B and GPT-4o 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 E2B and GPT-4o today?

Gemma 4 E2B: $0.00 input / $0.00 output per 1M tokens GPT-4o: $2.50 input / $10.00 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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