Gemma 4 31B vs Mistral Large 3

Benchmark Performance

Available Benchmarks

BenchmarkGemma 4 31BMistral Large 3
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,441.82100% of row best · rating · gemma-4-31b; 95% CI [1434.27306811, 1449.35895578]; votes 5900; rank 601,427.6299% of row best · rating · mistral-large-3; 95% CI [1424.57601414, 1430.66670291]; votes 65336; rank 85
LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader1,275.94100% of row best · rating · gemma-4-31b; 95% CI [1269.53471972, 1282.35229256]; votes 34348; rank 311,226.8496% of row best · rating · mistral-large-3; 95% CI [1216.90651393, 1236.78308197]; votes 4751; rank 66
Overall ResultCounted from the protocol-matched rows above2 benchmark winsOverall lead0 benchmark wins

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
Google DeepMind · activeGemma 4 31BVerified Sep 3, 2026
Mistral AI · activeMistral Large 3Verified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemma 4 31BMistral Large 3
DeveloperGoogle DeepMindMistral AI
FamilyGemma 4Mistral Large 3
ModelGemma 4 31BMistral Large 3
VersionGemma 4 31BMistral Large 3
Lifecycleactiveactive
Released2026-03-112025-12-02
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Document
Output modalitiesTextText
Context window262K262K
Total parameters31B675B
Active parametersUnknown41B
Licenseapache-2.0Apache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessCerebras (Standard), Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard)Mistral AI (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolsagents, chat, generation, structured_outputs, tools, vision

16 comparable fields · 10 material differences · Pair passes the primary-source comparison gate

Gemma 4 31B Capabilities

chatgenerationreasoningstructured outputstools
Input price$0.090
Output price$0.34
Serving providers5
Canonical IDgoogle/gemma-4-31B-it

Mistral Large 3 Capabilities

agentschatgenerationstructured outputstoolsvision
Input price$0.50
Output price$1.50
Serving providers2
Canonical IDmistralai/mistral-large-2512

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Gemma 4 31B vs Mistral Large 3 FAQs

Is Gemma 4 31B or Mistral Large 3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 31B and Mistral Large 3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 31B or Mistral Large 3?+

Gemma 4 31B is $0.090 and Mistral Large 3 is $0.50 per million tokens, so Gemma 4 31B is cheaper on this metric. Gemma 4 31B is $0.34 and Mistral Large 3 is $1.50 per million tokens, so Gemma 4 31B is cheaper on this metric.

Which has a larger context window, Gemma 4 31B or Mistral Large 3?+

Neither model has a larger sourced context window in this comparison. Gemma 4 31B is 262K and Mistral Large 3 is 262K.

Which performs better in benchmarks, Gemma 4 31B or Mistral Large 3?+

There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.

Can Gemma 4 31B or Mistral Large 3 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Gemma 4 31B is open weight; Mistral Large 3 is open weight.

Can Gemma 4 31B and Mistral Large 3 understand images?+

Gemma 4 31B is documented with image input; Mistral Large 3 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 31B or Mistral Large 3?+

Neither has a larger sourced maximum output. Gemma 4 31B is — and Mistral Large 3 is —.

Do Gemma 4 31B and Mistral Large 3 support reasoning and tool use?+

Gemma 4 31B: reasoning, tool calling, and image input. Mistral Large 3: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 31B or Mistral Large 3?+

Gemma 4 31B has 5 sourced provider routes; Mistral Large 3 has 2, so Gemma 4 31B has broader tracked availability.

Which offers better value, Gemma 4 31B or Mistral Large 3?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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