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 pricing, Gemini 2.5 Pro ranges from $1.25 to $2.50/1M input tokens by tier; MiniMax M3 ranges from $0.60 to $1.20/1M input tokens by tier. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

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 AgentsRAG, Agents, and Long context
Context window1m1m
Cheapest output$10/1M tokens$2.40/1M tokens
Provider routes4 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemini 2.5 Pro when...
  • Gemini 2.5 Pro has broader tracked provider coverage for fallback and procurement flexibility.
  • Gemini 2.5 Pro uniquely exposes Structured outputs and Code execution in local model data.
  • Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
Choose MiniMax M3 when...
  • MiniMax M3 has the lower cheapest tracked output price at $2.40/1M tokens.
  • Local decision data tags MiniMax M3 for RAG, Agents, and Long context.

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

$1,080

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

Estimated monthly gap: $2,420. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 2.5 Pro -> MiniMax M3
  • No overlapping tracked provider route is sourced for Gemini 2.5 Pro and MiniMax M3; plan for SDK, billing, or endpoint changes.
  • MiniMax M3 is $7.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Structured outputs and Code execution before moving production traffic.
MiniMax M3 -> Gemini 2.5 Pro
  • No overlapping tracked provider route is sourced for MiniMax M3 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 Structured outputs and Code execution in local capability data.

Specs

Specification
Released2025-06-172026-05-31
Context window1m1m
Parameters——
Architecturedecoder onlyMiniMax Sparse Attention (MSA)
LicenseProprietary0
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.
0-200,001t
$1.25/1M tokens
>200k tokens
$2.50/1M tokens
Higher Gemini 2.5 Pro tier for prompts above 200k tokens.
200,001t+
$2.50/1M tokens
<=512K input tokens (standard)
$0.60/1M tokens
Regular list price before the temporary launch discount.
>512K input tokens (limited)
$1.20/1M tokens
MiniMax marks inputs above 512K as limited quantity for a limited time.
Output price
<=200k tokens
$10/1M tokens
Standard Gemini 2.5 Pro pricing for prompts up to 200k tokens.
0-200,001t
$10/1M tokens
>200k tokens
$15/1M tokens
Higher Gemini 2.5 Pro tier for prompts above 200k tokens.
200,001t+
$15/1M tokens
<=512K input tokens (standard)
$2.40/1M tokens
Regular list price before the temporary launch discount.
>512K input tokens (limited)
$4.80/1M tokens
MiniMax marks inputs above 512K as limited quantity for a limited time.
Providers
Google AI StudioGCP Vertex AIOpenRouterVercel AI Gateway
MiniMax

Capabilities

CapabilityGemini 2.5 ProMiniMax M3
VisionYesYes
MultimodalYesYes
ReasoningYesYes
Function callingYesYes
Tool useYesYes
Structured outputsYesNo
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on structured outputs: Gemini 2.5 Pro and code execution: Gemini 2.5 Pro. Both models share vision, multimodal input, reasoning mode, and function calling, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, Gemini 2.5 Pro lists tiered pricing: <=200k tokens is $1.25/1M input and $10/1M output; 0-200,001t is $1.25/1M input and $10/1M output; >200k tokens is $2.50/1M input and $15/1M output; 200,001t+ is $2.50/1M input and $15/1M output, while MiniMax M3 lists tiered pricing: <=512K input tokens (standard) is $0.60/1M input and $2.40/1M output; >512K input tokens (limited) is $1.20/1M input and $4.80/1M output. A 70/30 input-output blend puts MiniMax M3 lower by about $2.74 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 4 providers versus 1, so concentration risk also matters.

Choose Gemini 2.5 Pro when coding workflow support and broader provider choice are central to the workload. Choose MiniMax M3 when vision-heavy evaluation and lower cheapest-tier input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which has a larger context window, Gemini 2.5 Pro or MiniMax M3?

Gemini 2.5 Pro supports 1m tokens, while MiniMax M3 supports 1m tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Gemini 2.5 Pro or MiniMax M3?

Gemini 2.5 Pro lists tiered pricing: <=200k tokens is $1.25/1M input and $10/1M output; 0-200,001t is $1.25/1M input and $10/1M output; >200k tokens is $2.50/1M input and $15/1M output; 200,001t+ is $2.50/1M input and $15/1M output. MiniMax M3 lists tiered pricing: <=512K input tokens (standard) is $0.60/1M input and $2.40/1M output; >512K input tokens (limited) is $1.20/1M input and $4.80/1M output. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.

Is Gemini 2.5 Pro or MiniMax M3 open source?

Gemini 2.5 Pro is listed under Proprietary. MiniMax M3 is listed under 0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, Gemini 2.5 Pro or MiniMax M3?

Both Gemini 2.5 Pro and MiniMax M3 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Gemini 2.5 Pro or MiniMax M3?

Both Gemini 2.5 Pro and MiniMax M3 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Gemini 2.5 Pro and MiniMax M3?

Gemini 2.5 Pro is available on Google AI Studio, GCP Vertex AI, OpenRouter, and Vercel AI Gateway. MiniMax M3 is available on MiniMax. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

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Last reviewed: 2026-06-01. Data sourced from public model cards and provider documentation.