LLM Reference

Gemini 2.5 Pro vs Mistral Large 3 675B Instruct

Gemini 2.5 Pro (2025) and Mistral Large 3 675B Instruct (2025) are frontier reasoning models from Google DeepMind and MistralAI. Gemini 2.5 Pro ships a 1m-token context window, while Mistral Large 3 675B Instruct ships a 128k-token context window. On MMLU PRO, Gemini 2.5 Pro leads by 0.7 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Gemini 2.5 Pro fits 8x more tokens; pick it for long-context work and Mistral Large 3 675B Instruct for tighter calls.

Decision scorecard

Local evidence first
SignalGemini 2.5 ProMistral Large 3 675B Instruct
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsmultimodal apps and provider-routed production
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1m128k
Cheapest output$10/1M tokens$1.50/1M tokens
Provider routes4 tracked6 tracked
Shared benchmarksMMLU PRO leader4 shared

Decision tradeoffs

Choose Gemini 2.5 Pro when...
  • Gemini 2.5 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 0.7 points.
  • Gemini 2.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemini 2.5 Pro uniquely exposes Reasoning, JSON / Tool use, and Code execution in local model data.
  • Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
Choose Mistral Large 3 675B Instruct when...
  • Mistral Large 3 675B Instruct holds a shared-benchmark lead on LiveCodeBench, ahead by 7.2 points.
  • Mistral Large 3 675B Instruct has the lower cheapest tracked output price at $1.50/1M tokens.
  • Mistral Large 3 675B Instruct has broader tracked provider coverage for fallback and route flexibility.
  • Local decision data tags Mistral Large 3 675B Instruct for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Mistral Large 3 675B Instruct

Gemini 2.5 Pro

$3,500

Cheapest tracked route/tier: Google AI Studio <=200K tokens

Mistral Large 3 675B Instruct

$775

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $2,725. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 2.5 Pro -> Mistral Large 3 675B Instruct
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • Mistral Large 3 675B Instruct is $8.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Reasoning, JSON / Tool use, and Code execution before moving production traffic.
Mistral Large 3 675B Instruct -> Gemini 2.5 Pro
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • Gemini 2.5 Pro is $8.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Gemini 2.5 Pro adds Reasoning, JSON / Tool use, and Code execution in local capability data.

Specs

Specification
Released2025-06-172025-12-01
Context window1m128k
Parameters675B
ArchitectureDecoder OnlyDecoder Only
LicenseProprietaryApache 2.0OSI-approved
OpennessProprietaryOpen source
WeightsNot releasedUnknown
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2025-012024-11

Pricing and availability

Pricing attributeGemini 2.5 ProMistral Large 3 675B Instruct
Input price
<=200K tokens
$1.25/1M tokens
Standard Gemini 2.5 Pro pricing for prompts up to 200K tokens.
>200K tokens
$2.50/1M tokens
Higher Gemini 2.5 Pro tier for prompts above 200K tokens.
$0.50/1M tokens
Output price
<=200K tokens
$10/1M tokens
Standard Gemini 2.5 Pro pricing for prompts up to 200K tokens.
>200K tokens
$15/1M tokens
Higher Gemini 2.5 Pro tier for prompts above 200K tokens.
$1.50/1M tokens
Providers

Capabilities

CapabilityGemini 2.5 ProMistral Large 3 675B Instruct
VisionYesYes
MultimodalYesYes
ReasoningYesNo
JSON / Tool useYesNo
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGemini 2.5 ProMistral Large 3 675B Instruct
MMLU PRO86.285.5
Google-Proof Q&A86.443.9
LiveCodeBench75.682.8
HumanEval93.192.0

Continue comparing

Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.