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Model comparison

Composer 2 Fast vs Gemma 4 E2B

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
N/A
No comparison
41.03/100
0 category wins0 category wins

Public leaderboard positions: Composer 2 Fast unranked (Not scored); Gemma 4 E2B #171 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Composer 2 Fast and Gemma 4 E2B share 0 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Composer 2 Fast; 18 to Gemma 4 E2B.

Updated July 28, 2026
Shared results
0
Composer 2 Fast only
1
Gemma 4 E2B only
18
Comparable categories
0 / 8

Benchmark data for Composer 2 Fast and Gemma 4 E2B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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.

Composer 2 Fast has the larger context window at 200K, compared with 128K for Gemma 4 E2B.

Operational comparison

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

MetricComposer 2 FastGemma 4 E2BComparison
Input / output priceUSD per 1M tokensComposer 2 FastNot availableGemma 4 E2B$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondComposer 2 FastNot availableGemma 4 E2BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenComposer 2 FastNot availableGemma 4 E2BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensComposer 2 Fast200KGemma 4 E2B128KComposer 2 Fast lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkComposer 2 FastGemma 4 E2BResult
τ²-bench resultsSource 20.8%Not comparable
AA Agentic IndexSource 1.5%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource 88Not comparable
Coding
BenchmarkComposer 2 FastGemma 4 E2BResult
React Native EvalsSource 94.9%Not comparable
AA-SciCodeSource 20.9%Not comparable
AA Coding IndexSource 7.2%Not comparable
Reasoning
BenchmarkComposer 2 FastGemma 4 E2BResult
AA-LCRSource 15.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkComposer 2 FastGemma 4 E2BResult
GPQASource 43.4%Not comparable
MMLU-ProSource 60%Not comparable
Artificial Analysis Intelligence IndexSource 9.5%Not comparable
AA-GPQA DiamondSource 40.5%Not comparable
AA-HLESource 4.8%Not comparable
AA-Omniscience IndexSource -24.0%Not comparable
AA-Omniscience AccuracySource 6.7%Not comparable
AA-Omniscience Hallucination RateSource 32.9%Not comparable
Multimodal
BenchmarkComposer 2 FastGemma 4 E2BResult
AA-MMMU-ProSource 44.6%Not comparable
Inst. Following
BenchmarkComposer 2 FastGemma 4 E2BResult
AA-IFBenchSource 36.0%Not comparable
Frequently Asked Questions (3)

Can I compare Composer 2 Fast and Gemma 4 E2B 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 Composer 2 Fast and Gemma 4 E2B 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.

Related Comparisons

Last updated: July 28, 2026

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