Models

Claude Opus 4.8 vs GPT 6 Astra

Compare Claude Opus 4.8 from Anthropic and GPT 6 Astra 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 6 Astra
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 6 Astra
OpenAI · text, image → text

GPT-6 Astra is OpenAI's newest and most intelligent model, with industry-leading performance in computer operations, web browsing, software engineering, scientific research, and professional work. It excels at executing multi-step workflows across code, browsers, and various professional software. Astra can achieve better results with significantly fewer output tokens, making its estimated API cost per task lower.

Input$10 /M
Output$50 /M
Cache read$1 /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 6 Astra
Input /M
$5
$10
Output /M
$25
$50
Cache read /M
$0.5
$1
Context length
1,000,000
1,050,000
Max output
128,000
128,000
Time to First Token
1.1 s
9.7 s
Throughput
82.6 tok/s
32.7 tok/s
Modalities
textimagepdf
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
toolsthinkingstructured outputs
API Formats
chat_completions · claude_api
chat_completions · responses
Released
May 28, 2026
September 5, 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-6-astra

Tokens / day

-

Requests / day

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Performance Past 3 Days

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

claude-opus-4-8gpt-6-astra

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

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

WebDev Arena
claude-opus-4-8gpt-6-astra
1480160017201840
Overall
15401796
React
15411819
HTML
15271725
Gaming
15731867
Simulations
15441846
Data analytics
15021692

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 4.8
$675 /mo
GPT 6 Astra
$1,350 /mo

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

FAQ

Which is cheaper: Claude Opus 4.8, GPT 6 Astra?

Claude Opus 4.8: $25/M output tokens; GPT 6 Astra: $50/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

Claude Opus 4.8: 1.1s 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 6 Astra accepts 1,050,000 input tokens. Maximum output per request is 128,000 tokens on Claude Opus 4.8 and 128,000 tokens on GPT 6 Astra.

Which one generates tokens faster?

Claude Opus 4.8 at 82.6 tok/s and GPT 6 Astra at 32.7 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 6 Astra accepts text and image input and supports tool calling, thinking and structured outputs.

Can I call Claude Opus 4.8 and GPT 6 Astra 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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