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Model comparison

Gemma 4 E2B vs GPT-5.1-Codex

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
10.9pts
winning →
52.72/100
0 category wins0 category wins

Public leaderboard positions: Gemma 4 E2B #162 (Estimated); GPT-5.1-Codex #99 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemma 4 E2B and GPT-5.1-Codex share 12 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Gemma 4 E2B; 4 to GPT-5.1-Codex.

Updated July 23, 2026
Shared results
12
Gemma 4 E2B only
2
GPT-5.1-Codex only
4
Comparable categories
0 / 8

Benchmark data for Gemma 4 E2B and GPT-5.1-Codex 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.

GPT-5.1-Codex has the larger context window at 400K, 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 GPT-5.1-Codex
CategoryGemma 4 E2BΔGPT-5.1-Codex
KnowledgeGemma 4 E2B56.9MarginNo overlapGPT-5.1-CodexNot measured

Operational comparison

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

MetricGemma 4 E2BGPT-5.1-CodexComparison
Input / output priceUSD per 1M tokensGemma 4 E2B$0 input / $0 outputGPT-5.1-CodexNot availableA complete price comparison is not available.
Generation speedtokens per secondGemma 4 E2BNot availableGPT-5.1-CodexNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemma 4 E2BNot availableGPT-5.1-CodexNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemma 4 E2B128KGPT-5.1-Codex400KGPT-5.1-Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemma 4 E2BGPT-5.1-CodexResult
τ²-bench resultsSource 20.8%83%GPT-5.1-Codex leads
Gert LabsSource 49.68%Not comparable
JobBenchSource 26.2%Not comparable
Coding
BenchmarkGemma 4 E2BGPT-5.1-CodexResult
AA-SciCodeSource 20.9%40.2%GPT-5.1-Codex leads
Vibe Code BenchSource 13.12%Not comparable
Reasoning
BenchmarkGemma 4 E2BGPT-5.1-CodexResult
AA-LCRSource 15.0%67.3%GPT-5.1-Codex leads
CritPtSource 0.0%5.7%GPT-5.1-Codex leads
Knowledge
BenchmarkGemma 4 E2BGPT-5.1-CodexResult
GPQASource 43.4%Not comparable
MMLU-ProSource 60%Not comparable
Artificial Analysis Intelligence IndexSource 9.3%34.7%GPT-5.1-Codex leads
AA-GPQA DiamondSource 37.5%86.0%GPT-5.1-Codex leads
AA-HLESource 4.8%23.4%GPT-5.1-Codex leads
AA-Omniscience IndexSource -24.0%-6.0%GPT-5.1-Codex leads
AA-Omniscience AccuracySource 6.7%39.2%GPT-5.1-Codex leads
AA-Omniscience Hallucination RateSource 32.9%74.4%Gemma 4 E2B leads
Multimodal
BenchmarkGemma 4 E2BGPT-5.1-CodexResult
AA-MMMU-ProSource 44.6%72.5%GPT-5.1-Codex leads
Design Arena WebsiteSource 1191Not comparable
Inst. Following
BenchmarkGemma 4 E2BGPT-5.1-CodexResult
AA-IFBenchSource 35.1%70.0%GPT-5.1-Codex leads
Frequently Asked Questions (3)

Can I compare Gemma 4 E2B and GPT-5.1-Codex 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-5.1-Codex today?

Gemma 4 E2B: $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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