Model profile
Gemma 4 26B A4B
Evidence coverage
20 of 323 tracked benchmarks are published. 4 are verified and 16 provisional. 6 of 8 categories are measured.
- Published / tracked
- 20 / 323
- Verified
- 4
- Provisional
- 16
- Categories with evidence
- 6 / 8
Evidence by category
- Agentic4 benchmarksReported
- Coding2 benchmarksReported
- Reasoning2 benchmarksReported
- Knowledge9 benchmarksMixed evidence
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal2 benchmarksMixed evidence
- Inst. Following1 benchmarkReported
Gemma 4 26B A4B ranks #67 out of 200 models on the public leaderboard with an overall score of 57.96/100. It also ranks #44 out of 99 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
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 12B, Gemma 4 E2B, Gemma 4 E4B. This profile currently has 20 of 323 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 Agentic (#50), while its weakest is Coding (#84). This performance profile makes it particularly useful for coding agents, browser research, and computer-use workflows.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 57.44–58.61
- GPT-5 (high)OpenAICompare#6358.61GPT-5 (high) is #63 with a score of 58.61.
- GPT-5.2OpenAICompare#6458.43GPT-5.2 is #64 with a score of 58.43.
- DeepSeek V3.2 (Thinking)DeepSeekCompare#6558.15DeepSeek V3.2 (Thinking) is #65 with a score of 58.15.
- Qwen3 235B 2507 (Reasoning)AlibabaCompare#6658.01Qwen3 235B 2507 (Reasoning) is #66 with a score of 58.01.
- Gemma 4 26B A4BCurrent modelGoogle#6757.96Gemma 4 26B A4B is #67 with a score of 57.96.
- GLM-4.5Z.AICompare#6857.56GLM-4.5 is #68 with a score of 57.56.
- Claude Opus 4.5 ThinkingAnthropicCompare#6957.44Claude Opus 4.5 Thinking is #69 with a score of 57.44.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Agentic58%Eligible cohort rank #50 of 119Category score 49.5
- Coding31%Eligible cohort rank #84 of 122Category score 46.8
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #50 of 119Percentile 58thWeight 22%4 benchmarksReported | 49.5 | #50 of 119 | 58th | 22% | 4 benchmarks | Reported |
| CodingRank #84 of 122Percentile 31stWeight 20%2 benchmarksReported | 46.8 | #84 of 122 | 31st | 20% | 2 benchmarks | Reported |
| ReasoningRank Not rankedWeight 17%2 benchmarksReported | 44.1 | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank Not rankedWeight 12%9 benchmarksMixed sources | 38.4 | Not ranked | Not available | 12% | 9 benchmarks | Mixed sources |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank Not rankedWeight 12%2 benchmarksMixed sources | 46.8 | Not ranked | Not available | 12% | 2 benchmarks | Mixed sources |
| Inst. FollowingWeight 5%1 benchmarkReported | Score pending | Not ranked | Not available | 5% | 1 benchmark | Reported |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1438 | ±7.6 | 5,798 |
| Coding | 1480 | ±15.3 | 1,369 |
| Math | 1466 | ±28.4 | 371 |
| Instruction Following | 1439 | ±14.1 | 1,601 |
| Creative Writing | 1402 | ±19.0 | 946 |
| Multi-turn | 1447 | ±17.5 | 1,089 |
| Hard Prompts | 1461 | ±10.1 | 3,270 |
| Hard Prompts (English) | 1468 | ±14.8 | 1,485 |
| Longer Query | 1448 | ±14.5 | 1,557 |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic4 benchmarks
Artificial Analysis Agentic Index
τ²-Bench Tool-Agent-User Evaluation
GDPval-AA normalized
Coding2 benchmarks
Artificial Analysis Coding Index
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge9 benchmarks
Humanity's Last Exam
Massive Multitask Language Understanding Professional
Humanity's Last Exam without tools
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Multimodal2 benchmarks
Massive Multi-discipline Multimodal Understanding Pro
Artificial Analysis MMMU-Pro
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does Gemma 4 26B A4B perform overall in AI benchmarks?
Gemma 4 26B A4B has 20 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 has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Gemma 4 26B A4B good for coding and programming?
Gemma 4 26B A4B ranks #84 out of 122 models in coding and programming benchmarks with an average score of 46.8. There are stronger options in this category.
Is Gemma 4 26B A4B good for reasoning and logic?
Gemma 4 26B A4B has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Gemma 4 26B A4B good for agentic tool use and computer tasks?
Gemma 4 26B A4B ranks #50 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 49.5. 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 good for instruction following?
Gemma 4 26B A4B has visible benchmark coverage in instruction following, 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 12B, Gemma 4 E2B, Gemma 4 E4B.
Does Gemma 4 26B A4B have full benchmark coverage on BenchLM?
Not yet. Gemma 4 26B A4B currently has 20 published benchmark scores out of the 323 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 published context window of 256K, which determines how much text it can process in a single interaction.
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