Gemini 2.5 Pro vs Gemini 3 Pro
Gemini 2.5 Pro (2025) and Gemini 3 Pro (2025) are frontier reasoning models from Google DeepMind. Both ship a 1m-token context window. On MMLU PRO, Gemini 3 Pro leads by 5.6 pts. On pricing, Gemini 2.5 Pro ranges from $1.25 to $2.50/1M input tokens by tier; Gemini 3 Pro costs $1.25/1M input tokens. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Pick Gemini 3 Pro for general evaluation; Gemini 2.5 Pro is better when coding workflow support matters more.
Decision scorecard
Local evidence first| Signal | Gemini 2.5 Pro | Gemini 3 Pro |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | multimodal apps, tool-calling agents, and long-context analysis |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 1m |
| Cheapest output | $10/1M tokens | $5/1M tokens |
| Provider routes | 4 tracked | 2 tracked |
| Shared benchmarks | 5 shared | MMLU PRO leader |
Decision tradeoffs
- Gemini 2.5 Pro holds a shared-benchmark lead on Massive Multi-discipline Multimodal Understanding, ahead by 0.7 points.
- Gemini 2.5 Pro has broader tracked provider coverage for fallback and route flexibility.
- Gemini 2.5 Pro uniquely exposes Reasoning and Structured outputs in local model data.
- Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
- Gemini 3 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 5.6 points.
- Gemini 3 Pro has the lower cheapest tracked output price at $5/1M tokens.
- Local decision data tags Gemini 3 Pro 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
Gemini 3 Pro
$2,250
Cheapest tracked route/tier: GCP Vertex AI
Estimated monthly gap: $1,250. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on GCP Vertex AI; start route-level A/B tests there.
- Gemini 3 Pro is $5/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning and Structured outputs before moving production traffic.
- Use this scaffold for Gemini users checking whether Gemini 3 Pro changes the answer for long-context, RAG, or JSON / Tool use workloads.
- Start from context-window fit, then compare output-token pricing and cache availability.
- Preserve Gemini 2.5 Pro as a candidate when the page lacks sourced peer benchmarks for the task.
- Provider overlap exists on GCP Vertex AI; start route-level A/B tests there.
- Gemini 2.5 Pro is $5/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Gemini 2.5 Pro adds Reasoning and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-17 | 2025-12-11 |
| Context window | 1m | 1m |
| Parameters | — | — |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Proprietary |
| Openness | Proprietary | Proprietary |
| Weights | Not released | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2025-01 | 2025-01 |
Pricing and availability
| Pricing attribute | Gemini 2.5 Pro | Gemini 3 Pro |
|---|---|---|
| Input price |
| $1.25/1M tokens |
| Output price |
| $5/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Pro | Gemini 3 Pro |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | No |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | No |
| Code execution | Yes | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemini 2.5 Pro | Gemini 3 Pro |
|---|---|---|
| MMLU PRO | 86.2 | 91.8 |
| SWE-bench Verified | 63.8 | 76.2 |
| Google-Proof Q&A | 86.4 | 91.9 |
| Massive Multi-discipline Multimodal Understanding | 81.7 | 81.0 |
| Chatbot Arena | 1398.0 | 1486.0 |
Continue comparing
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Last reviewed: 2026-09-21. Data sourced from public model cards and provider documentation.