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claude-opus-5 vs gpt-5.5

Output tokens cost $25.00 per million on claude-opus-5 and $30.00 per million on gpt-5.5. Input tokens cost $5.00 per million on claude-opus-5 and $5.00 per million on gpt-5.5. Cached input tokens are billed at $0.50 per million on claude-opus-5 and $0.50 per million on gpt-5.5. Context windows are 1,000,000 tokens on claude-opus-5 and 1,050,000 tokens on gpt-5.5. First-token latency measured on AIHubMix is 1.4s on claude-opus-5 and 5.4s on gpt-5.5. Measured output throughput is 56.7 tokens/s on claude-opus-5 and 49.1 tokens/s on gpt-5.5. On the LMArena coding leaderboard claude-opus-5 scores 1532 and gpt-5.5 scores 1508.

Anthropicclaude-opus-5OpenAIgpt-5.5
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Anthropic
claude-opus-5
Anthropic · text, image → text

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.

Input$5.00 /M
Output$25.00 /M
Details
OpenAI
gpt-5.5
OpenAI · text, image → text

GPT-5.5 raises the baseline for complex production workflows. It’s a strong fit for coding use cases, tool-heavy agents, grounded assistants, long-context retrieval, product-spec-to-plan workflows, and customer-facing workflows where execution quality and response polish are critical.

Input$5.00 /M
Output$30.00 /M
Details

Specs & Pricing

Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.

claude-opus-5
gpt-5.5
Input price
$5.00
$5.00
Output price
$25.00
$30.00
Cache read
$0.50
$0.50
Context window
1,000,000
1,050,000
Max output
128,000
128,000
Latency (first token)
1.4 s
5.4 s
Throughput
56.7 TPS
49.1 TPS
Modalities
textimage
textimage
Features
thinkingtoolsstructured outputslong contextweb
thinkingfunction callingstructured outputswebtools
Endpoints
chat_completions · claude_api · responses
chat_completions · claude_api · responses

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.

claude-opus-5gpt-5.5

Tokens / day

-

Requests / day

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Live Performance last 3 days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

claude-opus-5gpt-5.5

Throughput (TPS)

-

Latency (s)

-

Uptime (%)

-

Arena Scores

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
claude-opus-5gpt-5.5
1420148015401600
Overall
14761492
Coding
15081532
Math
14991537
Hard prompts
14951520
Instruction following
14731498
Multi-turn
14801486
Creative writing
14471472
Longer query
14821506
Chinese
15301590
English
14801493
Vision
claude-opus-5gpt-5.5
126013001340
Overall
12871295
OCR
12981305
Diagram
13231326
Homework
13291341

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.

claude-opus-5
$675 /mo
gpt-5.5
$750 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: claude-opus-5, gpt-5.5?

claude-opus-5: $25.00/M output tokens; gpt-5.5: $30.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

claude-opus-5: 1532; gpt-5.5: 1508 (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 gpt-5.5 accepts 1,050,000 input tokens. Maximum output per request is 128,000 tokens on claude-opus-5 and 128,000 tokens on gpt-5.5.

Which one generates tokens faster?

claude-opus-5 at 56.7 tokens/s and gpt-5.5 at 49.1 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; gpt-5.5 accepts text and image input and supports thinking, function calling, structured outputs, web search and tool calling.

Can I call claude-opus-5 and gpt-5.5 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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