Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents. The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.
claude-opus-5 vs gemini-3.1-pro-preview
Output tokens cost $25.00 per million on claude-opus-5 and $12.00 per million on gemini-3.1-pro-preview. Input tokens cost $5.00 per million on claude-opus-5 and $2.00 per million on gemini-3.1-pro-preview. Cached input tokens are billed at $0.50 per million on claude-opus-5 and $0.50 per million on gemini-3.1-pro-preview. Context windows are 1,000,000 tokens on claude-opus-5 and 1,000,000 tokens on gemini-3.1-pro-preview. First-token latency measured on AIHubMix is 1.4s on claude-opus-5 and 5.9s on gemini-3.1-pro-preview. Measured output throughput is 56.7 tokens/s on claude-opus-5 and 79.5 tokens/s on gemini-3.1-pro-preview. On the LMArena coding leaderboard claude-opus-5 scores 1532 and gemini-3.1-pro-preview scores 1521.
Gemini 3.1 Pro Preview is designed to further optimize the performance and reliability of the Gemini 3 Pro series, offering improved reasoning capabilities, greater token efficiency, and a more robust, factually consistent user experience. It is optimized for software-engineering behaviors and usability, and is also suitable for agent workflows that require precise tool invocation and reliable multi-step execution, enabling stable operation across a variety of real-world scenarios.
Specs & Pricing
Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Usage on AIHubMix last 30 days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Live Performance last 3 days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (TPS)
Latency (s)
Uptime (%)
Arena Scores
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost Calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: claude-opus-5, gemini-3.1-pro-preview?
gemini-3.1-pro-preview: $12.00/M output tokens; claude-opus-5: $25.00/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
claude-opus-5: 1532; gemini-3.1-pro-preview: 1521 (LMArena coding leaderboard).
Which responds faster?
claude-opus-5: 1.4s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
claude-opus-5 accepts 1,000,000 and gemini-3.1-pro-preview accepts 1,000,000 input tokens. Maximum output per request is 128,000 tokens on claude-opus-5 and 64,000 tokens on gemini-3.1-pro-preview.
Which one generates tokens faster?
gemini-3.1-pro-preview at 79.5 tokens/s and claude-opus-5 at 56.7 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
What inputs and capabilities does each model support?
claude-opus-5 accepts text and image input and supports thinking, tool calling, structured outputs, long context and web search; gemini-3.1-pro-preview accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search, deep search and long context.
Can I call claude-opus-5 and gemini-3.1-pro-preview with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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