Gemini 3 Pro vs GPT-5.4
Gemini 3 Pro (2025) and GPT-5.4 (2026) are frontier reasoning models from Google DeepMind and OpenAI. Gemini 3 Pro ships a 1M-token context window, while GPT-5.4 ships a 1.1M-token context window. On MMLU PRO, Gemini 3 Pro leads by 2.6 pts. On pricing, Gemini 3 Pro costs $1.25/1M input tokens versus $2.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Gemini 3 Pro is ~100% cheaper at $1.25/1M; pay for GPT-5.4 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Gemini 3 Pro | GPT-5.4 |
|---|---|---|
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1M | 1.1M |
| Cheapest output | $5/1M tokens | $15/1M tokens |
| Provider routes | 2 tracked | 2 tracked |
| Shared benchmarks | MMLU PRO leader | 4 rows |
Decision tradeoffs
- Gemini 3 Pro leads the largest shared benchmark signal on MMLU PRO by 2.6 points.
- Gemini 3 Pro has the lower cheapest tracked output price at $5/1M tokens.
- Gemini 3 Pro uniquely exposes Vision in local model data.
- Local decision data tags Gemini 3 Pro for Coding, RAG, and Agents.
- GPT-5.4 leads the largest shared benchmark signal on SWE-bench Pro by 15.2 points.
- GPT-5.4 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.4 uniquely exposes Reasoning and Structured outputs in local model data.
- Local decision data tags GPT-5.4 for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Gemini 3 Pro
$2,250
Cheapest tracked route: GCP Vertex AI
GPT-5.4
$5,750
Cheapest tracked route: OpenAI API
Estimated monthly gap: $3,500. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Gemini 3 Pro and GPT-5.4; plan for SDK, billing, or endpoint changes.
- GPT-5.4 is $10/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision before moving production traffic.
- GPT-5.4 adds Reasoning and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for GPT-5.4 and Gemini 3 Pro; plan for SDK, billing, or endpoint changes.
- Gemini 3 Pro is $10/1M 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.
- Gemini 3 Pro adds Vision in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-11 | 2026-03-05 |
| Context window | 1M | 1.1M |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2025-01 | 2025-08 |
Pricing and availability
| Pricing attribute | Gemini 3 Pro | GPT-5.4 |
|---|---|---|
| Input price | $1.25/1M tokens | $2.5/1M tokens |
| Output price | $5/1M tokens | $15/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 3 Pro | GPT-5.4 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | Yes |
| Reasoning | No | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | No | Yes |
| Code execution | Yes | Yes |
Benchmarks
| Benchmark | Gemini 3 Pro | GPT-5.4 |
|---|---|---|
| MMLU PRO | 90.1 | 87.5 |
| SWE-bench Pro | 42.5 | 57.7 |
| Chatbot Arena | 1486.0 | 1479.0 |
| Massive Multi-discipline Multimodal Understanding | 81.0 | 82.1 |
Deep dive
On shared benchmark coverage, MMLU PRO has Gemini 3 Pro at 90.1 and GPT-5.4 at 87.5, with Gemini 3 Pro ahead by 2.6 points; SWE-bench Pro has Gemini 3 Pro at 42.5 and GPT-5.4 at 57.7, with GPT-5.4 ahead by 15.2 points; Chatbot Arena has Gemini 3 Pro at 1486 and GPT-5.4 at 1479, with Gemini 3 Pro ahead by 7 points. The largest visible gap is 15.2 points on SWE-bench Pro, 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 differs most on vision: Gemini 3 Pro, reasoning mode: GPT-5.4, and structured outputs: GPT-5.4. Both models share multimodal input, function calling, tool use, and code execution, 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 3 Pro lists $1.25/1M input and $5/1M output tokens, while GPT-5.4 lists $2.5/1M input and $15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemini 3 Pro lower by about $3.88 per million blended tokens. Availability is 2 providers versus 2, so concentration risk also matters.
Choose Gemini 3 Pro when coding workflow support and lower input-token cost are central to the workload. Choose GPT-5.4 when coding workflow support and larger context windows 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 3 Pro or GPT-5.4?
GPT-5.4 supports 1.1M tokens, while Gemini 3 Pro 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 3 Pro or GPT-5.4?
Gemini 3 Pro is cheaper on tracked token pricing. Gemini 3 Pro costs $1.25/1M input and $5/1M output tokens. GPT-5.4 costs $2.5/1M input and $15/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 3 Pro or GPT-5.4 open source?
Gemini 3 Pro is listed under Proprietary. GPT-5.4 is listed under Proprietary. 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 3 Pro or GPT-5.4?
Gemini 3 Pro has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Gemini 3 Pro or GPT-5.4?
Both Gemini 3 Pro and GPT-5.4 expose multimodal input. 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.
Where can I run Gemini 3 Pro and GPT-5.4?
Gemini 3 Pro is available on Replicate API and GCP Vertex AI. GPT-5.4 is available on OpenAI API and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.