Gemma 4 31B
According to BenchLM.ai, Gemma 4 31B ranks #34 out of 109 models on the provisional leaderboard with an overall score of 67/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
Gemma 4 31B 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 31B sits inside the Gemma 4 family alongside Gemma 4 26B A4B, Gemma 4 E4B, Gemma 4 E2B. This profile currently has 6 of 152 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 (#29), while its weakest is Multimodal & Grounded (#31). 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
Coding
Reasoning
Knowledge
#29Math
Multilingual
Multimodal
#31Inst. Following
Chatbot Arena Performance
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.
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Frequently Asked Questions
How does Gemma 4 31B perform overall in AI benchmarks?
Gemma 4 31B currently ranks #34 out of 109 models on BenchLM's provisional leaderboard with an overall score of 67 (estimated). It is created by Google and features a 256K context window.
Is Gemma 4 31B good for knowledge and understanding?
Gemma 4 31B ranks #29 out of 109 models in knowledge and understanding benchmarks with an average score of 74.1. There are stronger options in this category.
Is Gemma 4 31B good for coding and programming?
Gemma 4 31B has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is Gemma 4 31B good for multimodal and grounded tasks?
Gemma 4 31B ranks #31 out of 109 models in multimodal and grounded tasks benchmarks with an average score of 70.5. There are stronger options in this category.
Is Gemma 4 31B open source?
Yes, Gemma 4 31B 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 31B?
Gemma 4 31B belongs to the Gemma 4 family. Related variants on BenchLM include Gemma 4 26B A4B, Gemma 4 E4B, Gemma 4 E2B.
Does Gemma 4 31B have full benchmark coverage on BenchLM?
Not yet. Gemma 4 31B currently has 6 published benchmark scores out of the 152 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 31B?
Gemma 4 31B has a context window of 256K, which determines how much text it can process in a single interaction.
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