Models

Claude Opus 4.8 vs GPT 5 Chat

Compare Claude Opus 4.8 from Anthropic and GPT 5 Chat from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

AnthropicClaude Opus 4.8OpenAIGPT 5 Chat
Anthropic logo
Claude Opus 4.8
Anthropic · text, image, pdf → text

Claude Opus 4.8 is Anthropic’s newest and most powerful publicly available model. It is suitable for the most complex tasks. It is Anthropic’s strongest model for complex reasoning, long-horizon agent programming, and highly autonomous work.claude-opus-4-8 does not display thought content by default; you need to set the additional parameter "display": "summarized" to enable it

Input$5 /M
Output$25 /M
Cache read$0.5 /M
OpenAI logo
GPT 5 Chat
OpenAI · text, image → text

GPT-5 Chat points to the GPT-5 snapshot currently used in ChatGPT. GPT-5 is our next-generation, high-intelligence flagship model. It accepts both text and image inputs, and produces text outputs.

Input$1.25 /M
Output$10 /M
Cache read$0.125 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Claude Opus 4.8
GPT 5 Chat
Input /M
$5
$1.25
Output /M
$25
$10
Cache read /M
$0.5
$0.125
Context length
1,000,000
128,000
Max output
128,000
16,384
Time to First Token
1.1 s
0.8 s
Throughput
82.6 tok/s
77.4 tok/s
Modalities
textimagepdf
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
May 28, 2026
August 7, 2025

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

claude-opus-4-8gpt-5-chat-latest

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

claude-opus-4-8gpt-5-chat-latest

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

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

Text
claude-opus-4-8gpt-5-chat-latest
1360142014801540
Overall
14271473
Coding
14631527
Math
14131474
Hard prompts
14491503
Instruction following
14171477
Multi-turn
14491495
Creative writing
13921465
Longer query
14361499
Chinese
14491523
English
14321480
Vision
claude-opus-4-8gpt-5-chat-latest
1200124012801320
Overall
12251279
OCR
12451294
Diagram
12611309
Homework
12761320

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.

GPT 5 Chat
$225 /mo
Claude Opus 4.8
$675 /mo

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

FAQ

Which is cheaper: Claude Opus 4.8, GPT 5 Chat?

GPT 5 Chat: $10/M output tokens; Claude Opus 4.8: $25/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Claude Opus 4.8: 1527; GPT 5 Chat: 1463 (LMArena coding leaderboard).

Which responds faster?

GPT 5 Chat: 0.8s time to first token 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 4.8 accepts 1,000,000 and GPT 5 Chat accepts 128,000 input tokens. Maximum output per request is 128,000 tokens on Claude Opus 4.8 and 16,384 tokens on GPT 5 Chat.

Which one generates tokens faster?

Claude Opus 4.8 at 82.6 tok/s and GPT 5 Chat at 77.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Claude Opus 4.8 accepts text, image and PDF input and supports thinking, tool calling, function calling and structured outputs; GPT 5 Chat accepts text and image input.

Can I call Claude Opus 4.8 and GPT 5 Chat 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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