Gemini 3.1 Pro vs Mistral Large 3

Benchmark Performance

Available Benchmarks

BenchmarkGemini 3.1 ProMistral Large 3
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,480.10100% of row best · rating · gemini-3.1-pro-preview; 95% CI [1476.89767236, 1483.30025658]; votes 102763; rank 111,427.6296% 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 · leader1,295.39100% of row best · rating · gemini-3.1-pro-preview; 95% CI [1289.75236576, 1301.03738662]; votes 39412; rank 171,226.8495% of row best · rating · mistral-large-3; 95% CI [1216.90651393, 1236.78308197]; votes 4751; rank 66
ToneBench2026-08-14-10-task · overall_score · leader80.00100% of row best · points · Gemini 3.1 Pro (high thinking) · 8,095 output tokens / case70.6188% of row best · points · Mistral Large 3 · 2,014 output tokens / case
Overall ResultCounted from the protocol-matched rows above3 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 · previewGemini 3.1 ProVerified Aug 29, 2026
Mistral AI · activeMistral Large 3Verified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemini 3.1 ProMistral Large 3
DeveloperGoogle DeepMindMistral AI
FamilyGemini 3Mistral Large 3
ModelGemini 3.1 ProMistral Large 3
VersionGemini 3.1 ProMistral Large 3
Lifecyclepreviewactive
ReleasedUnknown2025-12-02
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText, Image, Document
Output modalitiesTextText
Context window1,048,576262,144
Total parametersUnknown675,000,000,000
Active parametersUnknown41,000,000,000
LicenseUnknownApache-2.0
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessGoogle AI (Standard)Mistral AI (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolsagents, chat, generation, structured_outputs, tools, vision

13 comparable fields · 11 material differences · Pair passes the primary-source comparison gate

Gemini 3.1 Pro Capabilities

chatgenerationreasoningtools
Input price$2.00
Output price$12.00
Serving providers1
Canonical IDgoogle-deepmind/gemini-3.1-pro-preview

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

Gemini 3.1 Pro vs Mistral Large 3 FAQs

Is Gemini 3.1 Pro or Mistral Large 3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Pro and Mistral Large 3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3.1 Pro or Mistral Large 3?+

Gemini 3.1 Pro is $2.00 and Mistral Large 3 is $0.50 per million tokens, so Mistral Large 3 is cheaper on this metric. Gemini 3.1 Pro is $12.00 and Mistral Large 3 is $1.50 per million tokens, so Mistral Large 3 is cheaper on this metric.

Which has a larger context window, Gemini 3.1 Pro or Mistral Large 3?+

Gemini 3.1 Pro has the larger sourced context window. Gemini 3.1 Pro supports 1,048,576 and Mistral Large 3 supports 262,144.

Which performs better in benchmarks, Gemini 3.1 Pro or Mistral Large 3?+

Gemini 3.1 Pro leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can Gemini 3.1 Pro or Mistral Large 3 be self-hosted?+

Mistral Large 3 is the only model in this pair currently marked as self-hostable. Gemini 3.1 Pro is not marked open weight; Mistral Large 3 is open weight.

Can Gemini 3.1 Pro and Mistral Large 3 understand images?+

Gemini 3.1 Pro 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, Gemini 3.1 Pro or Mistral Large 3?+

Neither has a larger sourced maximum output. Gemini 3.1 Pro is 65,536 and Mistral Large 3 is —.

Do Gemini 3.1 Pro and Mistral Large 3 support reasoning and tool use?+

Gemini 3.1 Pro: 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, Gemini 3.1 Pro or Mistral Large 3?+

Gemini 3.1 Pro has 1 sourced provider route; Mistral Large 3 has 2, so Mistral Large 3 has broader tracked availability.

Which offers better value, Gemini 3.1 Pro 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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