LLM Reference

Gemini 2.5 Pro vs MiniMax M3

Gemini 2.5 Pro (2025) and MiniMax M3 (2026) are frontier-tier reasoning models from Google DeepMind and MiniMax. Gemini 2.5 Pro ships a 1m-token context window, while MiniMax M3 ships a 1m-token context window. On SWE-bench Verified, MiniMax M3 leads by 16.7 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

MiniMax M3 is safer overall; choose Gemini 2.5 Pro when coding workflow support matters.

Decision scorecard

Local evidence first
SignalGemini 2.5 ProMiniMax M3
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsreasoning-heavy apps, multimodal apps, and tool-calling agents
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1m1m
Cheapest output$10/1M tokens$1.20/1M tokens
Provider routes4 tracked2 tracked
Shared benchmarks3 sharedSWE-bench Verified leader

Decision tradeoffs

Choose Gemini 2.5 Pro when...
  • Gemini 2.5 Pro has broader tracked provider coverage for fallback and route flexibility.
  • Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
Choose MiniMax M3 when...
  • MiniMax M3 holds a shared-benchmark lead on SWE-bench Verified, ahead by 16.7 points.
  • MiniMax M3 has the lower cheapest tracked output price at $1.20/1M tokens.
  • Local decision data tags MiniMax M3 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 MiniMax M3

Gemini 2.5 Pro

$3,500

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

MiniMax M3

$540

Cheapest tracked route/tier: MiniMax <=512K input tokens (standard)

Estimated monthly gap: $2,960. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 2.5 Pro -> MiniMax M3
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • MiniMax M3 is $8.80/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
MiniMax M3 -> Gemini 2.5 Pro
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Gemini 2.5 Pro is $8.80/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.

Specs

Specification
Released2025-06-172026-06-01
Context window1m1m
Parameters
ArchitectureDecoder OnlyDecoder Only
LicenseProprietaryMiniMax Community License
OpennessProprietaryOpen weights
WeightsNot releasedAvailable
CodeUnknownAvailable·MITOSI-approved
Commercial useCommercial use: conditionalCommercial use: conditional
Knowledge cutoff2025-01-

Pricing and availability

Pricing attributeGemini 2.5 ProMiniMax M3
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.
<=512K input tokens (standard)
$0.30/1M tokens
Permanent standard-tier price for <=512K input tokens; cache_read stores this tier's $0.06/M cache-read price.
>512K input tokens
$0.60/1M tokens
Long-context tier for inputs above 512K; cache-read price is $0.12/M per MiniMax pricing docs.
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.
<=512K input tokens (standard)
$1.20/1M tokens
Permanent standard-tier price for <=512K input tokens; cache_read stores this tier's $0.06/M cache-read price.
>512K input tokens
$2.40/1M tokens
Long-context tier for inputs above 512K; cache-read price is $0.12/M per MiniMax pricing docs.
Providers

Capabilities

CapabilityGemini 2.5 ProMiniMax M3
VisionYesYes
MultimodalYesYes
ReasoningYesYes
JSON / Tool useYesYes
Structured outputsYesYes
Code executionYesYes
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGemini 2.5 ProMiniMax M3
SWE-bench Verified63.880.5
Google-Proof Q&A86.492.9
Terminal-Bench 2.032.666.0

Continue comparing

Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.