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Model comparison

Gemini 2.5 Pro vs Gemma 4 26B A4B

Data verified

Head-to-head evidence from 17 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

57.25/100
Margin
0.7pts
winning →
57.96/100
0 category wins1 category wins

Public leaderboard positions: Gemini 2.5 Pro #70 (Supported); Gemma 4 26B A4B #67 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 2.5 Pro and Gemma 4 26B A4B share 17 comparable benchmark results. 1 of 8 categories are comparable. 7 results are unique to Gemini 2.5 Pro; 3 to Gemma 4 26B A4B.

Updated July 23, 2026
Shared results
17
Gemini 2.5 Pro only
7
Gemma 4 26B A4B only
3
Comparable categories
1 / 8

Pick Gemma 4 26B A4B if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 6 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Gemma 4 26B A4B has the cleaner BenchAlign overall profile here, landing at 57.96 versus 57.25. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Gemma 4 26B A4B's sharpest advantage is in knowledge, where it averages 43.4 against 27.4. The single biggest benchmark swing on the page is HLE, 18.8% to 17.2%.

Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $10.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 26B A4B. That is roughly Infinityx on output cost alone. Gemma 4 26B A4B is the reasoning model in the pair, while Gemini 2.5 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 256K for Gemma 4 26B A4B.

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 Gemini 2.5 Pro and Gemma 4 26B A4B
CategoryGemini 2.5 ProΔGemma 4 26B A4B
KnowledgeGemini 2.5 Pro27.4Margin 16.0Gemma 4 26B A4B43.4
CodingGemini 2.5 Pro63.8MarginNo overlapGemma 4 26B A4BNot measured
MathGemini 2.5 Pro11.6MarginNo overlapGemma 4 26B A4BNot measured
MultimodalGemini 2.5 ProNot measuredMarginNo overlapGemma 4 26B A4B73.8

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Gemini 2.5 ProB · Gemma 4 26B A4B
  1. HLE

    Knowledge
    Source ↗
    A 18.8%B 17.2%
    Winner: Gemini 2.5 ProΔ 1.6
    HLE: Gemini 2.5 Pro scored 18.8%; Gemma 4 26B A4B scored 17.2%. Gemini 2.5 Pro wins this benchmark.

Operational comparison

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

MetricGemini 2.5 ProGemma 4 26B A4BComparison
Input / output priceUSD per 1M tokensGemini 2.5 Pro$1.25 input / $10 outputGemma 4 26B A4B$0 input / $0 outputGemma 4 26B A4B has the lower combined listed price.
Generation speedtokens per secondGemini 2.5 Pro117 tok/sGemma 4 26B A4BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 2.5 Pro21.19 sGemma 4 26B A4BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 2.5 Pro1MGemma 4 26B A4B256KGemini 2.5 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 2.5 ProGemma 4 26B A4BResult
AA Agentic IndexSource 7.1%11.0%Gemma 4 26B A4B leads
τ²-bench resultsSource 54.1%43.6%Gemini 2.5 Pro leads
Gert LabsSource 42.01%Not comparable
GDPval-AASource 8.3%13.1%Gemma 4 26B A4B leads
GDPval-AASource 665761Gemma 4 26B A4B leads
Coding
BenchmarkGemini 2.5 ProGemma 4 26B A4BResult
SWE-bench VerifiedSource 63.8%Not comparable
Vibe Code BenchSource 0.40%Not comparable
AA Coding IndexSource 33.3%39.3%Gemma 4 26B A4B leads
AA-SciCodeSource 42.8%40.0%Gemini 2.5 Pro leads
Reasoning
BenchmarkGemini 2.5 ProGemma 4 26B A4BResult
AA-LCRSource 66.0%55.7%Gemini 2.5 Pro leads
CritPtSource 2.6%0.0%Gemini 2.5 Pro leads
KnowledgeGemma 4 26B A4B wins
BenchmarkGemini 2.5 ProGemma 4 26B A4BResult
GPQASource 83%Not comparable
HLESource 18.8%17.2%Gemini 2.5 Pro leads
Artificial Analysis Intelligence IndexSource 25.8%25.7%Gemini 2.5 Pro leads
AA-GPQA DiamondSource 84.4%79.2%Gemini 2.5 Pro leads
AA-HLESource 21.1%18.3%Gemini 2.5 Pro leads
AA-Omniscience IndexSource -14.3%-48.1%Gemini 2.5 Pro leads
AA-Omniscience AccuracySource 39.0%18.2%Gemini 2.5 Pro leads
AA-Omniscience Hallucination RateSource 87.4%80.9%Gemma 4 26B A4B leads
MMLU-ProSource 82.6%Not comparable
HLE w/o toolsSource 8.7%Not comparable
Math
BenchmarkGemini 2.5 ProGemma 4 26B A4BResult
FrontierMath v2 (Tiers 1-3)Source 14.138%Not comparable
FrontierMath v2 (Tier 4)Source 4.167%Not comparable
Multimodal
BenchmarkGemini 2.5 ProGemma 4 26B A4BResult
AA-MMMU-ProSource 74.9%69.2%Gemini 2.5 Pro leads
Design Arena WebsiteSource 1197Not comparable
MMMU-ProSource 73.8%Not comparable
Inst. Following
BenchmarkGemini 2.5 ProGemma 4 26B A4BResult
AA-IFBenchSource 48.7%72.4%Gemma 4 26B A4B leads
Frequently Asked Questions (2)

Which is better, Gemini 2.5 Pro or Gemma 4 26B A4B?

Gemma 4 26B A4B is ahead on BenchLM's BenchAlign leaderboard, 57.96 to 57.25. The biggest single separator in this matchup is HLE, where the scores are 18.8% and 17.2%.

Which is better for knowledge tasks, Gemini 2.5 Pro or Gemma 4 26B A4B?

Gemma 4 26B A4B has the edge for knowledge tasks in this comparison, averaging 43.4 versus 27.4. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.

Related Comparisons

Last updated: July 23, 2026

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