LLM Reference

Gemini 2.5 Pro vs Mistral Large 2

Gemini 2.5 Pro (2025) and Mistral Large 2 (2025) are frontier reasoning models from Google DeepMind and MistralAI. Gemini 2.5 Pro ships a 1m-token context window, while Mistral Large 2 ships a 128k-token context window. On MMLU PRO, Gemini 2.5 Pro leads by 16.5 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 2 for tighter calls.

Decision scorecard

Local evidence first
SignalGemini 2.5 ProMistral Large 2
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsmultimodal apps, tool-calling agents, and provider-routed production
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1m128k
Cheapest output$10/1M tokens$2.40/1M tokens
Provider routes4 tracked3 tracked
Shared benchmarksMMLU PRO leader3 shared

Decision tradeoffs

Choose Gemini 2.5 Pro when...
  • Gemini 2.5 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 16.5 points.
  • Gemini 2.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemini 2.5 Pro has broader tracked provider coverage for fallback and route flexibility.
  • Gemini 2.5 Pro uniquely exposes Reasoning and Code execution in local model data.
  • Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
Choose Mistral Large 2 when...
  • Mistral Large 2 has the lower cheapest tracked output price at $2.40/1M tokens.
  • Local decision data tags Mistral Large 2 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 2

Gemini 2.5 Pro

$3,500

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

Mistral Large 2

$984

Cheapest tracked route/tier: AWS Bedrock

Estimated monthly gap: $2,516. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 2.5 Pro -> Mistral Large 2
  • No overlapping tracked provider route is sourced for Gemini 2.5 Pro and Mistral Large 2; plan for SDK, billing, or endpoint changes.
  • Mistral Large 2 is $7.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Reasoning and Code execution before moving production traffic.
Mistral Large 2 -> Gemini 2.5 Pro
  • No overlapping tracked provider route is sourced for Mistral Large 2 and Gemini 2.5 Pro; plan for SDK, billing, or endpoint changes.
  • Gemini 2.5 Pro is $7.60/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Gemini 2.5 Pro adds Reasoning and Code execution in local capability data.

Specs

Specification
Released2025-06-172025-11-25
Context window1m128k
Parameters123B
ArchitectureDecoder OnlyDecoder Only
LicenseProprietaryMistral License
OpennessProprietaryOpen weights
WeightsNot releasedUnknown
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: non-commercial
Knowledge cutoff2025-012025-07

Pricing and availability

Pricing attributeGemini 2.5 ProMistral Large 2
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.
$0.48/1M 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.
$2.40/1M tokens
Providers

Capabilities

CapabilityGemini 2.5 ProMistral Large 2
VisionYesYes
MultimodalYesYes
ReasoningYesNo
JSON / Tool useYesYes
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGemini 2.5 ProMistral Large 2
MMLU PRO86.269.7
HumanEval93.184.8
Chatbot Arena1398.01265.0

Continue comparing

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