Gemini 3.1 Pro vs Claude Opus 4.7: large-context vs frontier pricing
Gemini 3.1 Pro is more than 2x cheaper on both inputs and outputs, representing a highly economical premium frontier tier. Claude Opus 4.7 is reserved for absolute top-tier intelligence requirements.
Large-context reasoning versus frontier flagship reasoning.
Processing complex reasoning tasks at scale requires choosing a premium model. Let's compare Gemini 3.1 Pro (<=200k) and Claude Opus 4.7 API rates.
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 | Claude Opus 4.7 |
|---|---|---|
| Input Cost (per M) | $2.00 (better on this spec) | $5.00 |
| Output Cost (per M) | $12.00 (better on this spec) | $25.00 |
| Cached Input (per M) | $0.20 (better on this spec) | $0.50 |
| Batch Discount | 50% | 50% |
How they differ
Gemini 3.1 Pro (<=200k) costs $2.00 per million input tokens and $12.00 per million output tokens, with a 90% caching discount to $0.20/M. Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens, also with a 90% caching discount.
Verdict
Gemini wins three cost rows for prompts up to 200K: $2.00/M input against $5.00, $12.00/M output against $25.00, and $0.20/M cached input against $0.50/M. Both models apply a 90% cache discount and a 50% batch discount, so the batch row ties and preserves the base price gap. Opus 4.7 earns its premium only on tasks where its flagship reasoning and instruction following undo retries and catch errors the cheaper model misses.
Which should you pick?
Choose Gemini 3.1 Pro
Long-context workloads up to 1M tokens and cache-heavy search datasets.
Choose Claude Opus 4.7
Flagship executive reasoning tasks, multi-step code planning, and maximum logical accuracy.