Gemma 4 31B
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
BenchLM is tracking Gemma 4 31B, 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 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 25 of 225 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 (#32). 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
#32Math
Multilingual
Multimodal
Inst. 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.
Compare This Model
See how Gemma 4 31B stacks up against similar models
Frequently Asked Questions
How does Gemma 4 31B perform overall in AI benchmarks?
Gemma 4 31B has 25 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Gemma 4 31B good for knowledge and understanding?
Gemma 4 31B ranks #32 out of 119 models in knowledge and understanding benchmarks with an average score of 72.6. 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 reasoning and logic?
Gemma 4 31B has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Gemma 4 31B good for agentic tool use and computer tasks?
Gemma 4 31B has visible benchmark coverage in agentic tool use and computer tasks, 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 has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.
Is Gemma 4 31B good for instruction following?
Gemma 4 31B has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
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 25 published benchmark scores out of the 225 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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