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Gemma 4 26B A4B

GoogleCurrentReleased Apr 2, 2026
Overall Score
Unranked
Arena Elo
1438
Categories Ranked
1of 8
Price (1M tokens)
$0 in / $0 out
Speed
N/A
Context
256K
Open WeightSelf-hostReasoning
Confidence
26b-a4b

BenchLM is tracking Gemma 4 26B A4B, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.

Gemma 4 26B A4B is a open weight model with a 256K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

Gemma 4 26B A4B sits inside the Gemma 4 family alongside Gemma 4 31B, Gemma 4 E4B, Gemma 4 E2B. This profile currently has 4 of 193 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Its strongest category is Knowledge (#43). This performance profile makes it particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.

Ranking Distribution

Category rank across 4 benchmark categories — sorted by best rank

Category Performance

Scores across all benchmark categories (0-100 scale)

Category Breakdown

Agentic

0.0/ 100
Weight: 22%0 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

70.3/ 100
Weight: 20%0 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

18.8/ 100
Weight: 17%0 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

#43
64.4/ 100
Weight: 12%3 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

0.0/ 100
Weight: 5%0 benchmarks
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

0.0/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

65.2/ 100
Weight: 12%1 benchmark
MMMU-ProOfficeQA ProCharXivCharXiv w/o tools

Inst. Following

0.0/ 100
Weight: 5%0 benchmarks
IFEvalIFBench

Chatbot Arena Performance

Text Overall1438CI: ±7.75,777 votes
Coding1481CI: ±15.41,348 votes
Math1468CI: ±28.3369 votes
Instruction Following1438CI: ±14.21,579 votes
Creative Writing1404CI: ±19.1944 votes
Multi-turn1446CI: ±17.61,072 votes
Hard Prompts1461CI: ±10.23,237 votes
Hard Prompts (English)1468CI: ±14.91,479 votes
Longer Query1448CI: ±14.61,535 votes

Benchmark Details

Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.

Gemma 4 Family

26b-a4b

Canonical Entry

Gemma 4 31B

Frequently Asked Questions

How does Gemma 4 26B A4B perform overall in AI benchmarks?

Gemma 4 26B A4B has 4 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is Gemma 4 26B A4B good for knowledge and understanding?

Gemma 4 26B A4B ranks #43 out of 115 models in knowledge and understanding benchmarks with an average score of 64.4. There are stronger options in this category.

Is Gemma 4 26B A4B good for multimodal and grounded tasks?

Gemma 4 26B A4B has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.

Is Gemma 4 26B A4B open source?

Yes, Gemma 4 26B A4B is an open weight model created by Google, meaning it can be downloaded and run locally or fine-tuned for specific use cases.

Which sibling models are related to Gemma 4 26B A4B?

Gemma 4 26B A4B belongs to the Gemma 4 family. Related variants on BenchLM include Gemma 4 31B, Gemma 4 E4B, Gemma 4 E2B.

Does Gemma 4 26B A4B have full benchmark coverage on BenchLM?

Not yet. Gemma 4 26B A4B currently has 4 published benchmark scores out of the 193 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Gemma 4 26B A4B?

Gemma 4 26B A4B has a context window of 256K, which determines how much text it can process in a single interaction.

Last updated: May 13, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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