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Model comparison

Gemma 4 E2B vs o3

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.

41.82/100
Margin
6.1pts
winning →
OpenAI
47.89/100
0 category wins0 category wins

Public leaderboard positions: Gemma 4 E2B #162 (Estimated); o3 #131 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemma 4 E2B and o3 share 12 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Gemma 4 E2B; 4 to o3.

Updated July 18, 2026
Shared results
12
Gemma 4 E2B only
2
o3 only
4
Comparable categories
0 / 8

Benchmark data for Gemma 4 E2B and o3 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.

o3 is priced at $2.00 input / $8.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 E2B. o3 has the larger context window at 200K, compared with 128K 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 o3
CategoryGemma 4 E2BΔo3
KnowledgeGemma 4 E2B56.9MarginNo overlapo3Not measured
MathGemma 4 E2BNot measuredMarginNo overlapo314.5

Operational comparison

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

MetricGemma 4 E2Bo3Comparison
Input / output priceUSD per 1M tokensGemma 4 E2B$0 input / $0 outputo3$2 input / $8 outputGemma 4 E2B has the lower combined listed price.
Generation speedtokens per secondGemma 4 E2BNot availableo3118 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemma 4 E2BNot availableo35.38 sA complete latency comparison is not available.
Context windowmaximum listed tokensGemma 4 E2B128Ko3200Ko3 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemma 4 E2Bo3Result
τ²-bench resultsSource 20.8%80.7%o3 leads
Coding
BenchmarkGemma 4 E2Bo3Result
AA-SciCodeSource 20.9%41.0%o3 leads
Reasoning
BenchmarkGemma 4 E2Bo3Result
AA-LCRSource 15.0%69.3%o3 leads
CritPtSource 0.0%1.1%o3 leads
Knowledge
BenchmarkGemma 4 E2Bo3Result
GPQASource 43.4%Not comparable
MMLU-ProSource 60%Not comparable
Artificial Analysis Intelligence IndexSource 9.3%30.4%o3 leads
AA-GPQA DiamondSource 43.3%82.7%o3 leads
AA-HLESource 4.8%20.0%o3 leads
AA-Omniscience IndexSource -24.0%-15.3%o3 leads
AA-Omniscience AccuracySource 6.7%38.4%o3 leads
AA-Omniscience Hallucination RateSource 32.9%87.1%Gemma 4 E2B leads
Math
BenchmarkGemma 4 E2Bo3Result
AA MATH-500Source 99.2%Not comparable
FrontierMath v2 (Tiers 1-3)Source 18.685%Not comparable
FrontierMath v2 (Tier 4)Source 2.083%Not comparable
Multimodal
BenchmarkGemma 4 E2Bo3Result
AA-MMMU-ProSource 44.6%70.1%o3 leads
Design Arena WebsiteSource 1069Not comparable
Inst. Following
BenchmarkGemma 4 E2Bo3Result
AA-IFBenchSource 38.0%71.4%o3 leads
Frequently Asked Questions (3)

Can I compare Gemma 4 E2B and o3 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 o3 today?

Gemma 4 E2B: $0.00 input / $0.00 output per 1M tokens o3: $2.00 input / $8.00 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 18, 2026

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