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| Signal | Gemini 2.5 Pro | MiniMax M3 |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 1m |
| Cheapest output | $10/1M tokens | $1.20/1M tokens |
| Provider routes | 4 tracked | 2 tracked |
| Shared benchmarks | 3 shared | SWE-bench Verified leader |
Decision tradeoffs
- Gemini 2.5 Pro has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
- 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.
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
- 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.
- 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 | ||
|---|---|---|
| Released | 2025-06-17 | 2026-06-01 |
| Context window | 1m | 1m |
| Parameters | — | — |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | MiniMax Community License |
| Openness | Proprietary | Open weights |
| Weights | Not released | Available |
| Code | Unknown | Available·MITOSI-approved |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Pricing attribute | Gemini 2.5 Pro | MiniMax M3 |
|---|---|---|
| Input price |
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| Output price |
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| Providers |
Capabilities
| Capability | Gemini 2.5 Pro | MiniMax M3 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemini 2.5 Pro | MiniMax M3 |
|---|---|---|
| SWE-bench Verified | 63.8 | 80.5 |
| Google-Proof Q&A | 86.4 | 92.9 |
| Terminal-Bench 2.0 | 32.6 | 66.0 |
Deep dive
On shared benchmark coverage, SWE-bench Verified has Gemini 2.5 Pro at 63.8 and MiniMax M3 at 80.5, with MiniMax M3 ahead by 16.7 points; Google-Proof Q&A has Gemini 2.5 Pro at 86.4 and MiniMax M3 at 92.9, with MiniMax M3 ahead by 6.5 points; Terminal-Bench 2.0 has Gemini 2.5 Pro at 32.6 and MiniMax M3 at 66, with MiniMax M3 ahead by 33.4 points. The largest visible gap is 33.4 points on Terminal-Bench 2.0, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint is close: both models cover vision, multimodal input, reasoning mode, function calling, and tool use. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Gemini 2.5 Pro lists tiered pricing: <=200K tokens is $1.25/1M input and $10/1M output; >200K tokens is $2.50/1M input and $15/1M output, while MiniMax M3 lists tiered pricing: <=512K input tokens (standard) is $0.30/1M input and $1.20/1M output; >512K input tokens is $0.60/1M input and $2.40/1M output. A 70/30 input-output blend puts MiniMax M3 lower by about $3.31 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 2, 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 coding workflow support 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; >200K tokens is $2.50/1M input and $15/1M output. MiniMax M3 lists tiered pricing: <=512K input tokens (standard) is $0.30/1M input and $1.20/1M output; >512K input tokens is $0.60/1M input and $2.40/1M 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 MiniMax Community License. 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 and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.