Models

Claude Opus 4.8 vs GPT 5.3 Chat

Compare Claude Opus 4.8 from Anthropic and GPT 5.3 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 5.3 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 5.3 Chat
OpenAI · text, image → text

GPT-5.3Chat refers to the GPT-5.3 snapshot currently used in ChatGPT and is optimized for conversational use cases. While GPT-5.2 is recommended for most API applications, GPT-5.3Chat is ideal for testing the latest improvements in chat-based interactions.

Input$1.75 /M
Output$14 /M
Cache read$0.175 /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 5.3 Chat
Input /M
$5
$1.75
Output /M
$25
$14
Cache read /M
$0.5
$0.175
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
99.7 tok/s
Modalities
textimagepdf
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
function callingstructured outputs
API Formats
chat_completions · claude_api
Released
May 28, 2026
March 3, 2026

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-5.3-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-5.3-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-5.3-chat-latest
1380144015001560
Overall
14491473
Coding
14971527
Math
14261474
Hard prompts
14721503
Instruction following
14341477
Multi-turn
14671495
Creative writing
14061465
Longer query
14561499
Chinese
14901523
English
14511480

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 5.3 Chat
$315 /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 5.3 Chat?

GPT 5.3 Chat: $14/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 5.3 Chat: 1497 (LMArena coding leaderboard).

Which responds faster?

GPT 5.3 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 5.3 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 5.3 Chat.

Which one generates tokens faster?

GPT 5.3 Chat at 99.7 tok/s and Claude Opus 4.8 at 82.6 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 5.3 Chat accepts text and image input and supports function calling and structured outputs.

Can I call Claude Opus 4.8 and GPT 5.3 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.

Popular comparisons

Related model match-ups readers also look at.