Google
RankedEnough results for an index.Gemma 4 26B A4B
Gemma 4 26B A4B is a reasoning model from Google in the Gemma 4 family. 17 benchmarks count toward its index, in 8 categories.
IndexAll categories, out of 100.44.5±3.9Median 51.0
CoverageIndex weight that has results.100%
SpeedOutput tokens per second.—Median 67/s
First tokenSeconds to the first output token.—Median 1.3 s
Input / 1MUS dollars per 1M input tokens.FreeMedian $0.60
Output / 1MUS dollars per 1M output tokens.FreeMedian $2.55
ContextMaximum tokens in one request.256KMedian 262K
EloLMArena rating and rank.1434±7 #92Median 1422
Run locally
25.81B parameters- 16-bit
- 55.2 GB
- 8-bit
- 29.8 GB
- 4-bit
- 17.4 GB
Memory need with a short context. The 4-bit copy fits in 24 GB. Compare local models
Capabilities
Index per category, out of 100.Results
17 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
ExtractBench: schema-guided enterprise document extraction (LlamaIndex leaderboard)Multimodal70.3%23 / 26
Sources
BenchLMCC BY-NC 4.0Epoch AICC BYEuroEvalMITHistory
5 releases23 Oct 202612 Nov 2026
23 Oct 202612 Nov 2026
Questions
- How much does Gemma 4 26B A4B cost?
- Input tokens are free, output tokens are free.
- How good is Gemma 4 26B A4B?
- Its index is 44.5 out of 100. That is place 181 of 283 ranked models.
- What is Gemma 4 26B A4B best at?
- Knowledge: 46.7 out of 100, place 161 of 268.
- What is the context window of Gemma 4 26B A4B?
- 256K tokens.
- Is Gemma 4 26B A4B open source?
- Yes. Its weights are published.
- When was Gemma 4 26B A4B released?
- April 2026.
Badge
- HTML
<a href="https://inference360.ai/models/gemma-4-26b-a4b"><img src="https://inference360.ai/badges/gemma-4-26b-a4b.svg" alt="Gemma 4 26B A4B on Inference360: place 181 of 283, index 44.5" height="20"></a>- Markdown
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