Google, open weights

# Gemma 4 26B A4B IT

> Gemma 4 26B A4B IT by Google, released April 2026. Ranked #92 of 354 with a Noometry Index of 43.5. API: $0.0675 in / $0.23 out per M tokens. 262K context. Scores, sources and comparisons.
- Canonical page: https://noometry.com/models/gemma-4-26b-a4b-it
- Last updated: 2026-10-10
- Title: Gemma 4 26B A4B IT Benchmarks, Price & Rank (October 2026)

Gemma 4 26B A4B IT by Google ranks 92nd of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.5. Its strongest category is multimodal, where it ranks 46th. API pricing starts at $0.0675 per million input tokens and $0.23 per million output tokens, with a 262K-token context window.

Last verified October 10, 2026

## Specifications

- **Noometry rank:** #92 of 354
- **Index score:** 43.5
- **Evidence:** Confirmed 28 results
- **Provider:** [![](/logos/google.svg) Google](https://noometry.com/providers/google)
- **Released:** April 2, 2026
- **Weights:** Open weights
- **Reasoning:** Yes
- **Context window:** 262K
- **Max output:** 33K
- **Input price:** $0.0675 / M
- **Output price:** $0.23 / M
- **Blended price:** $0.11 / M
- **Output speed:** Not measured
- **Value:** #12 of 219
- **Knowledge cutoff:** Unknown
- **Input:** text, image
- **Hugging Face:** [google/gemma-4-26B-A4B-it](https://huggingface.co/google/gemma-4-26B-A4B-it)

## Category scores

Each category score combines every public result we have in that category.

Gemma 4 26B A4B IT category scores

1.  Coding 39.0
2.  Reasoning 21.8
3.  Math 47.6
4.  Knowledge 45.7
5.  Multimodal 40.6
6.  Multilingual 53.1
7.  Instruction Following 74.8
8.  Long Context 43.6
9.  Writing & Preference 58.6
10.  020406080

Gemma 4 26B A4B IT category ranks
| Category | Score | Rank | Results |
| --- | --- | --- | --- |
| [Coding](https://noometry.com/best/coding) | 39.0 | #164 | 4 |
| [Reasoning](https://noometry.com/best/reasoning) | 21.8 | #213 | 5 |
| [Math](https://noometry.com/best/math) | 47.6 | #67 | 2 |
| [Knowledge](https://noometry.com/best/knowledge) | 45.7 | #85 | 3 |
| [Multimodal](https://noometry.com/best/multimodal) | 40.6 | #46 | 1 |
| [Multilingual](https://noometry.com/best/multilingual) | 53.1 | #71 | 1 |
| [Instruction Following](https://noometry.com/best/instruction-following) | 74.8 | #82 | 1 |
| [Long Context](https://noometry.com/best/long-context) | 43.6 | #91 | 1 |
| [Writing & Preference](https://noometry.com/best/writing) | 58.6 | #115 | 4 |

## Strengths and weaknesses

Categories where Gemma 4 26B A4B IT places highest and lowest among the models ranked in each, with its score against that category's median.

### Strongest categories

Gemma 4 26B A4B IT: strongest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Math](https://noometry.com/best/math) | 47.6 | +11.0 | #67 of 327, top 21% |
| [Multilingual](https://noometry.com/best/multilingual) | 53.1 | +5.7 | #71 of 297, top 24% |
| [Instruction Following](https://noometry.com/best/instruction-following) | 74.8 | +3.6 | #82 of 305, top 27% |

### Weakest categories

Gemma 4 26B A4B IT: weakest categories
| Category | Score | vs median | Rank |
| --- | --- | --- | --- |
| [Reasoning](https://noometry.com/best/reasoning) | 21.8 | −1.8 | #213 of 350, top 61% |
| [Coding](https://noometry.com/best/coding) | 39.0 | +0.3 | #164 of 340, top 49% |
| [Writing & Preference](https://noometry.com/best/writing) | 58.6 | +4.8 | #115 of 312, top 37% |

## Closest competitors

The models ranked just above and below Gemma 4 26B A4B IT. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to Gemma 4 26B A4B IT
| Model | Rank | Score | Blended $/M | Speed |  |
| --- | --- | --- | --- | --- | --- |
| [MiMo-V2-Omni](https://noometry.com/models/mimo-v2-omni) | #88 | 43.6 | $0.18 | — | [Compare](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-mimo-v2-omni) |
| [Kimi K2.5 Instant](https://noometry.com/models/kimi-k2-5-instant) | #89 | 43.6 | — | — | [Compare](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-kimi-k2-5-instant) |
| [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) | #90 | 43.5 | $0.15 | 3 | [Compare](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-gemma-4-31b-it) |
| [Qwen3 235B-A22B](https://noometry.com/models/qwen3-235b-a22b) | #91 | 43.5 | $1.22 | 85 | [Compare](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-qwen3-235b-a22b) |
| [MiMo-V2.5](https://noometry.com/models/mimo-v2-5) | #93 | 43.4 | $0.18 | — | [Compare](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-mimo-v2-5) |
| [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | #94 | 43.3 | $1.71 | — | [Compare](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-kimi-k2-7-code) |
| [Qwen3-VL 235B-A22B](https://noometry.com/models/qwen3-vl-235b-a22b) | #95 | 43.2 | $1.22 | — | [Compare](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-qwen3-vl-235b-a22b) |
| [Seed 2.0 Pro](https://noometry.com/models/dola-seed-2-0-pro) | #96 | 43.2 | $1.13 | — | [Compare](https://noometry.com/compare/dola-seed-2-0-pro-vs-gemma-4-26b-a4b-it) |

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

### Coding

Gemma 4 26B A4B IT Coding benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena WebDev](https://noometry.com/benchmarks/arena-webdev) | 1359 | #85 of 113, top 76% |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| [SciCode](https://noometry.com/benchmarks/scicode) | 40% | #80 of 121, top 67% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [WeirdML](https://noometry.com/benchmarks/weirdml) | 35.2% | #92 of 119, top 78% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMArena Coding](https://noometry.com/benchmarks/arena-coding) | 1447 | #92 of 294, top 32% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [ALE-Bench](https://noometry.com/benchmarks/ale-bench) | 927.17 | #47 of 105, top 45% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |

### Reasoning

Gemma 4 26B A4B IT Reasoning benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [CritPt](https://noometry.com/benchmarks/critpt) | 0% | #109 of 134, top 82% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Chess Puzzles](https://noometry.com/benchmarks/chess-puzzles) | 6% | #88 of 129, top 69% | minimal | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| [LMArena Hard Prompts](https://noometry.com/benchmarks/arena-hard-prompts) | 1439 | #83 of 297, top 28% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [DTBench](https://noometry.com/benchmarks/dtbench) | 74.9% | #87 of 151, top 58% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [LMCA](https://noometry.com/benchmarks/lmca) | 29.7% | #73 of 125, top 59% |  | [Epoch AI](https://epoch.ai/benchmarks) |  |
| [Epoch Capabilities Index](https://noometry.com/benchmarks/epoch-capabilities-index) | 141.85 | #101 of 213, top 48% |  | [Epoch AI](https://epoch.ai/eci) | 2026-04-02 |

### Math

Gemma 4 26B A4B IT Math benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [OTIS Mock AIME 2024-2025](https://noometry.com/benchmarks/otis-mock-aime) | 82.2% | #77 of 173, top 45% | minimal | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-28 |
| [LMArena Math](https://noometry.com/benchmarks/arena-math) | 1470 | #39 of 285, top 14% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Knowledge

Gemma 4 26B A4B IT Knowledge benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [GPQA Diamond](https://noometry.com/benchmarks/gpqa-diamond) | 73.2% | #95 of 186, top 52% | minimal | [Epoch AI](https://epoch.ai/benchmarks) | 2026-08-06 |
| [Vectara Hallucination Rate](https://noometry.com/benchmarks/vectara-hallucination) (lower is better) | 5.2% | #11 of 96, top 12% |  | [Vectara Hallucination Leaderboard](https://github.com/vectara/hallucination-leaderboard) |  |
| [LMArena Expert](https://noometry.com/benchmarks/arena-expert) | 1447 | #72 of 273, top 27% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Multimodal

Gemma 4 26B A4B IT Multimodal benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Vision](https://noometry.com/benchmarks/arena-vision) | 1260 | #47 of 122, top 39% |  | [LMArena](https://lmarena.ai/leaderboard/vision) | 2026-10-09 |

### Multilingual

Gemma 4 26B A4B IT Multilingual benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Non-English](https://noometry.com/benchmarks/arena-non-english) | 1421 | #71 of 297, top 24% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Chinese](https://noometry.com/benchmarks/arena-chinese) | 1495 | #51 of 285, top 18% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena French](https://noometry.com/benchmarks/arena-french) | 1460 | #51 of 223, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Russian](https://noometry.com/benchmarks/arena-russian) | 1434 | #63 of 283, top 23% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Spanish](https://noometry.com/benchmarks/arena-spanish) | 1417 | #95 of 226, top 43% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Instruction Following

Gemma 4 26B A4B IT Instruction Following benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Instruction Following](https://noometry.com/benchmarks/arena-instruction-following) | 1420 | #72 of 298, top 25% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Long Context

Gemma 4 26B A4B IT Long Context benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Longer Query](https://noometry.com/benchmarks/arena-longer-query) | 1428 | #82 of 291, top 29% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

### Writing & Preference

Gemma 4 26B A4B IT Writing & Preference benchmark results
| Benchmark | Score | Position | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- |
| [LMArena Text](https://noometry.com/benchmarks/arena-text) | 1434 | #74 of 297, top 25% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [LMArena Creative Writing](https://noometry.com/benchmarks/arena-creative-writing) | 1402 | #76 of 295, top 26% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |
| [EQ-Bench Creative Writing](https://noometry.com/benchmarks/eqbench-creative-writing) | 1305 | #78 of 115, top 68% |  | [EQ-Bench](https://eqbench.com/creative_writing.html) |  |
| [LMArena Multi-Turn](https://noometry.com/benchmarks/arena-multi-turn) | 1441 | #71 of 295, top 25% |  | [LMArena](https://lmarena.ai/leaderboard/text) | 2026-10-08 |

## API pricing by provider

Gemma 4 26B A4B IT API prices
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
| --- | --- | --- | --- | --- |
| [bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/models-supported.html) | $0.13 | $0.40 | — | 2026-10-10 |
| [deepinfra](https://deepinfra.com/models) | $0.07 | $0.34 | — | 2026-10-10 |
| [openrouter](https://openrouter.ai/google/gemma-4-26b-a4b-it) | $0.0675 | $0.23 | $0.0375 | 2026-10-10 |
| [vertex](https://cloud.google.com/vertex-ai/generative-ai/docs/models) | $0.15 | $0.60 | $0.015 | 2026-10-10 |

[All Google API prices →](https://noometry.com/llm-pricing/google) [Estimate your cost →](https://noometry.com/tools/cost-calculator)

## Compare Gemma 4 26B A4B IT

-   [Gemma 4 26B A4B IT vs Qwen3 235B-A22B](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-qwen3-235b-a22b)
-   [Gemma 4 26B A4B IT vs MiMo-V2.5](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-mimo-v2-5)
-   [Gemma 4 26B A4B IT vs Gemma 4 31B IT](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-gemma-4-31b-it)
-   [Gemma 4 26B A4B IT vs Kimi K2.7 Code](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-kimi-k2-7-code)
-   [Gemma 4 26B A4B IT vs Kimi K2.5 Instant](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-kimi-k2-5-instant)
-   [Gemma 4 26B A4B IT vs Qwen3-VL 235B-A22B](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-qwen3-vl-235b-a22b)
-   [Gemma 4 26B A4B IT vs GPT-6 Astra](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-gpt-6-astra)
-   [Gemma 4 26B A4B IT vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-gemma-4-26b-a4b-it)
-   [Gemma 4 26B A4B IT vs Kimi K3](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-kimi-k3)
-   [Gemma 4 26B A4B IT vs Grok 4.6](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-grok-4-6)
-   [Gemma 4 26B A4B IT vs Qwen3.8 Max](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-qwen3-8-max)
-   [Gemma 4 26B A4B IT vs GLM-5.3](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-glm-5-3)
-   [Gemma 4 26B A4B IT vs Muse Spark 1.3](https://noometry.com/compare/gemma-4-26b-a4b-it-vs-muse-spark-1-3)
-   [Gemma 4 26B A4B IT vs DeepSeek V4 Pro](https://noometry.com/compare/deepseek-v4-pro-vs-gemma-4-26b-a4b-it)

## Other Google models

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-   [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash)59.8
-   [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview)56.7
-   [Gemini 4 Argon](https://noometry.com/models/gemini-4-argon)56.5
-   [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro)54.8
-   [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash)54.2
-   [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash)54.1
-   [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview)52.3

## Frequently asked questions

### How good is Gemma 4 26B A4B IT?

Gemma 4 26B A4B IT by Google ranks 92nd of 354 ranked models on the Noometry Index as of October 2026, with a score of 43.5. Its strongest category is multimodal, where it ranks 46th. API pricing starts at $0.0675 per million input tokens and $0.23 per million output tokens, with a 262K-token context window.

### How much does Gemma 4 26B A4B IT cost?

Gemma 4 26B A4B IT costs $0.0675 per million input tokens and $0.23 per million output tokens on openrouter, with cached input at $0.0375.

### What is Gemma 4 26B A4B IT's context window?

Gemma 4 26B A4B IT accepts up to 262K tokens of input and can write up to 33K tokens in one response.

### Is Gemma 4 26B A4B IT open source?

Yes. Gemma 4 26B A4B IT's weights are downloadable from Hugging Face (google/gemma-4-26B-A4B-it); check the license for commercial terms.

### What are Gemma 4 26B A4B IT's strengths and weaknesses?

Relative to other ranked models, Gemma 4 26B A4B IT places best in math, multilingual, instruction following and lowest in reasoning, coding, writing & preference.

### What is Gemma 4 26B A4B IT best at?

Its best category is multimodal, where it ranks 46th on Noometry.

### Cite this page

Noometry. (2026). Gemma 4 26B A4B IT benchmarks and pricing. Retrieved October 10, 2026, from https://noometry.com/models/gemma-4-26b-a4b-it

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/models/gemma-4-26b-a4b-it.md).