Claude Opus 5.5vsGemini 3.1 Pro preview
Both language models, compared at each maker’s own API list prices. Every figure links to its source.
Compare at your usage
Every model priced for the same request8,000 tokens in, 2,000 out
| Claude Opus 5.5 on Claude API | Gemini 3.1 Pro preview on Gemini API | |
|---|---|---|
| Rate applied | Base rate | Base rate |
| Inputper 1M tokens | $4.00 | $2.00 |
| Cache readper 1M tokens | $0.20 | $0.20 |
| Outputper 1M tokens | $20.00 | $12.00 |
| Cost per request | $0.072 | $0.040 |
| Per 1,000 requests | $72.00 | $40.00 |
- Claude Opus 5.5 Claude API pricing · as of Nov 1, 2026
- Gemini 3.1 Pro preview Gemini API pricing · as of Nov 1, 2026
Every model is priced for the same request at its maker’s own list prices (each with its source and date), so bold marks the cheapest. A model that can’t serve the request is named, not ranked; a condition its seller doesn’t price says which rate was used.
Cost per request as prompts grow
2K tokens out, list price on each maker’s API. Gemini 3.1 Pro preview charges $4.00 / $18.00 above 200K tokens.
- Claude Opus 5.5 · Claude API
- Gemini 3.1 Pro preview · Gemini API
Where each stands among all scored models
Each line runs from the lowest to the highest score on the board; the tick is the median.
- Claude Opus 5.5
- Gemini 3.1 Pro preview
Key differences
These differences use verified vendor specifications or each maker’s official API on the same region, currency, meter and billing conditions. Different conditions remain side by side in the full table; they do not establish which model is cheaper. Declared features describe support, not measured quality or a recommendation. Missing evidence does not mean a feature is unsupported.
Full comparison
| Claude Opus 5.5 Anthropic | Gemini 3.1 Pro preview Google | |
|---|---|---|
| Overview | ||
| Released | Sep 22, 2026 | Feb 19, 2026 |
| Open weights | — | — |
| Knowledge cutoff | Jun 2026 | Jan 2025 |
| Specs | ||
| Context | 1M | 1.05M |
| Max output | 128K | 65.54K |
| Input modalities | Text, Image | Text, Image, Video, Audio, PDF |
| Output modalities | Text | Text |
| Reasoning | ||
| Reasoning efforts | max | low, medium, high |
| Tool use | ||
| Structured output | ||
| Pricing · per 1M tokens | ||
| Input price | $4.00 | $2.00 |
| Output price | $20.00 | $12.00 |
| Cache read price | $0.20 | $0.20 |
| Cache write price | $5.005-minute cache | — |
| Cache write price (1-hour cache) | $8.001-hour cache | Not offered |
| Blended price (3 input : 1 output) | $8.00 | $4.50 |
| Pricing under conditions · per 1M tokens | ||
| Input price, long prompts | Not offered | $4.00Prompts over 200K tokens |
| Output price, long prompts | Not offered | $18.00Prompts over 200K tokens |
| Batch input price | $2.00Batch | $1.00Batch |
| Batch output price | $10.00Batch | $6.00Batch |
| Flex tier input price | Not offered | $1.00Flex tier |
| Flex tier output price | Not offered | $6.00Flex tier |
| Priority tier input price | Not offered | $3.60Priority tier |
| Priority tier output price | Not offered | $21.60Priority tier |
| Cited scores | ||
| Epoch Capabilities Index | 168.4 | 156.2 |
| LMArena Text | 1,509 high effort | 1,487 |
| LMArena Text · Coding | 1,551 high effort | 1,521 |
| LMArena Vision | 1,321 high effort | 1,296 |
| LMArena Text · Chinese | 1,574 high effort | 1,528 |
| Epoch AI · GPQA Diamond | 90.6% max effort | 94.4% high effort |
| Epoch AI · FrontierMath Tiers 1–3 | 91.2% max effort | 59.6% |
Headline prices may come from different channels, regions or tiers. Check each source before choosing a model; missing facts stay blank.
Model details and sources
- Claude Opus 5.5 → Available
- Gemini 3.1 Pro preview → Preview
Cited scores
- Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · Epoch AI Benchmarking Hub data · CC BY 4.0 · as of Nov 5, 2026
- Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · Epoch AI Benchmarking Hub data · CC BY 4.0 · as of Oct 28, 2026
- Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · Epoch AI Benchmarking Hub data · CC BY 4.0 · as of Nov 4, 2026
- Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · Epoch AI Benchmarking Hub data · CC BY 4.0 · as of Nov 2, 2026
- EQ-Bench by Samuel J. Paech (eqbench.com; EQ-bench/EQ-bench-site on GitHub), MIT License. · EQ-Bench: 4 · MIT · as of Oct 24, 2026
- EQ-Bench by Samuel J. Paech (eqbench.com; EQ-bench/EQ-bench-site on GitHub), MIT License. · EQ-Bench: Longform Writing · MIT · as of Oct 28, 2026
- LiveBench (White et al.), release 2026-06-25, livebench.ai, licensed CC BY-SA 4.0. This board, adapted from it, is shared under CC BY-SA 4.0. · LiveBench release 2026-06-25 · CC BY-SA 4.0 · as of Jun 25, 2026
- LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · LMArena leaderboard dataset (Hugging Face) · CC BY 4.0 · as of Oct 13, 2026
- LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · LMArena leaderboard dataset (Hugging Face) · CC BY 4.0 · as of Oct 28, 2026
- LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · LMArena leaderboard dataset (Hugging Face) · CC BY 4.0 · as of Oct 19, 2026
- Terminal-Bench 4.0 leaderboard (Marten, Shaw et al., Terminal-Bench; harbor-framework/terminal-bench on GitHub), licensed Apache-2.0. · harbor-framework/terminal-bench leaderboard submissions · Apache-2.0 · as of Sep 29, 2026
- LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · LMArena leaderboard dataset (Hugging Face) · CC BY 4.0 · as of Sep 13, 2026