Gemini 3.1 Pro vs GPT-5.4: Google's flagship against OpenAI's workhorse
Gemini 3.1 Pro for short prompts where its lower base rates help, or workloads that need native audio and video input. GPT-5.4 for workloads that need mature tooling, structured outputs, or the lower base rate between Gemini's 200K tier boundary and GPT-5.4's 272K long-context boundary. Both offer about 1M tokens of context and 50% batch pricing, so benchmark your actual prompt length.
Two near-1M context windows with different price tiers, input modes, and tooling ecosystems.
Gemini 3.1 Pro is Google's answer to GPT-5.4, with competitive tiered pricing, a roughly 1M token context window, and native text, image, audio, and video input. GPT-5.4 has a nearly identical context window, broader ecosystem support, mature tooling, and image input. Both are excellent general-purpose models, and the choice comes down to prompt length, input modes, and ecosystem fit rather than context size.
By TechCompare · Updated
Cost Comparison
Based on 100,000 input tokens (50% cached), 5,000 output tokens, and 100 requests.Prices are fetched live from OpenRouter and may include temporary promotional discounts not accounted for in our article and comparison figures.
Side-by-side specs
| Spec | Gemini 3.1 Pro | GPT-5.4 |
|---|---|---|
| Input cost (per M, <=200K) | $2.00 (better on this spec) | $2.50 |
| Output cost (per M, <=200K) | $12.00 (better on this spec) | $15.00 |
| Context window | 1,048,576 tokens | 1,050,000 tokens |
| Caching discount | 90% | 90% |
| Batch discount | 50% | 50% |
| Native multimodality | Yes (image, audio, video) (better on this spec) | Image only |
| Ecosystem maturity | Growing rapidly | Most mature (better on this spec) |
How they differ
Gemini 3.1 Pro costs $2.00/M input and $12.00/M output for prompts up to 200K, then $4.00/M input and $18.00/M output above 200K. Cached input is $0.20/M or $0.40/M at those tiers, a 90% discount, and batch processing is 50% off. GPT-5.4 costs $2.50/M input, $15.00/M output, and $0.25/M cached input with a 50% batch discount. Prompts above 272K input tokens use GPT-5.4's long-context multiplier of 2x input and 1.5x output. The context windows are nearly identical at 1,048,576 tokens for Gemini and 1,050,000 for GPT-5.4. Gemini accepts text, images, audio, and video, while GPT-5.4 accepts text and images. GPT-5.4's ecosystem includes function calling, structured outputs, and broad SDK support.
Verdict
For prompts up to 200K, Gemini wins the base price rows at $2.00/M input and $12.00/M output against GPT-5.4's $2.50/M and $15.00/M. Cached input is also slightly lower at $0.20/M against $0.25/M, while both models apply a 90% cache discount and a 50% batch discount. Their context windows tie in practice at 1,048,576 and 1,050,000 tokens. Gemini's other win is native audio and video input, while GPT-5.4's is its mature tooling ecosystem. Prompt length matters because Gemini moves to $4.00/M input and $18.00/M output above 200K, while GPT-5.4 applies its own higher long-context rates above 272K.
Which should you pick?
Choose Gemini 3.1 Pro
Native image, audio, or video input. Short prompts that benefit from the lower base rates. You're already in the Google Cloud ecosystem and want tight Vertex AI integration.
Choose GPT-5.4
Structured output with strict JSON schemas. Batch processing with 50% discount. Mature function calling and Assistants API. Broadest third-party tooling and community support.
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Frequently asked questions
Is Gemini 3.1 Pro or GPT-5.4 cheaper for short-context workloads?
When does GPT-5.4 beat Gemini 3.1 Pro despite higher short-context prices?
What's the context window difference and why does it matter?
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