Models

claude-sonnet-5 vs gpt-5.5

Output tokens cost $10.00 per million on claude-sonnet-5 and $30.00 per million on gpt-5.5. Input tokens cost $2.00 per million on claude-sonnet-5 and $5.00 per million on gpt-5.5. Cached input tokens are billed at $2.00 per million on claude-sonnet-5 and $0.50 per million on gpt-5.5. Context windows are 1,000,000 tokens on claude-sonnet-5 and 1,050,000 tokens on gpt-5.5. First-token latency measured on AIHubMix is 3.3s on claude-sonnet-5 and 5.4s on gpt-5.5. Measured output throughput is 91.0 tokens/s on claude-sonnet-5 and 49.1 tokens/s on gpt-5.5. On the LMArena coding leaderboard claude-sonnet-5 scores 1526 and gpt-5.5 scores 1508.

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

Claude Sonnet 5 is the next generation of Anthropic's Sonnet model family. It is a drop-in upgrade for Claude Sonnet 4.6 with three behavior changes: adaptive thinking is on by default, manual extended thinking now returns a 400 error (it was deprecated on Claude Sonnet 4.6), and setting sampling parameters (temperature, top_p, top_k) to non-default values returns a 400 error

Input$2.00 /M
Output$10.00 /M
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

Specs & Pricing

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

claude-sonnet-5
gpt-5.5
Input price
$2.00
$5.00
Output price
$10.00
$30.00
Cache read
$2.00
$0.50
Context window
1,000,000
1,050,000
Max output
128,000
128,000
Latency (first token)
3.3 s
5.4 s
Throughput
91.0 TPS
49.1 TPS
Modalities
textimage
textimage
Features
thinkingtoolsfunction callingstructured outputs
thinkingfunction callingstructured outputswebtools
Endpoints
chat_completions · gemini_api · claude_api
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-sonnet-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-sonnet-5gpt-5.5

Throughput (TPS)

-

Latency (s)

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Uptime (%)

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Arena Scores

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

Text
claude-sonnet-5gpt-5.5
14001440148015201560
Overall
14621476
Coding
15081526
Math
14711499
Hard prompts
14931495
Instruction following
14631473
Multi-turn
14691480
Creative writing
14291447
Longer query
14821482
Chinese
14971530
English
14741480
Vision
claude-sonnet-5gpt-5.5
126013001340
Overall
12751287
OCR
12931298
Diagram
13201326
Homework
13141329

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-sonnet-5
$270 /mo
gpt-5.5
$750 /mo

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

FAQ

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

claude-sonnet-5: $10.00/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-sonnet-5: 1526; gpt-5.5: 1508 (LMArena coding leaderboard).

Which responds faster?

claude-sonnet-5: 3.3s 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-sonnet-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-sonnet-5 and 128,000 tokens on gpt-5.5.

Which one generates tokens faster?

claude-sonnet-5 at 91.0 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-sonnet-5 accepts text and image input and supports thinking, tool calling, function calling and structured outputs; gpt-5.5 accepts text and image input and supports thinking, function calling, structured outputs, web search and tool calling.

Can I call claude-sonnet-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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