Models

Claude Opus 4.8 vs GPT 4o Mini

Compare Claude Opus 4.8 from Anthropic and GPT 4o Mini 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 4o Mini
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 4o Mini
OpenAI · text, image → text

The lightweight version of GPT-4o, which is affordable and fast, suitable for handling simple tasks; our site supports the official automatic caching for this model, and charges for cache hits will be automatically halved.

Input$0.15 /M
Output$0.6 /M
Cache read$0.075 /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 4o Mini
Input /M
$5
$0.15
Output /M
$25
$0.6
Cache read /M
$0.5
$0.075
Context length
1,000,000
128,000
Max output
128,000
16,384
Time to First Token
1.1 s
0.6 s
Throughput
82.6 tok/s
52.2 tok/s
Modalities
textimagepdf
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
May 28, 2026
July 18, 2024

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-4o-mini

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-4o-mini

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

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

Text
claude-opus-4-8gpt-4o-mini
1260134014201500
Overall
13181473
Coding
13491527
Math
12761474
Hard prompts
13111503
Instruction following
12941477
Multi-turn
13111495
Creative writing
12941465
Longer query
13261499
Chinese
13151523
English
13291480
Vision
claude-opus-4-8gpt-4o-mini
1080116012401320
Overall
10981279
OCR
12941294
Diagram
13091309
Homework
13201320

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 4o Mini
$18.00 /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 4o Mini?

GPT 4o Mini: $0.6/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 4o Mini: 1349 (LMArena coding leaderboard).

Which responds faster?

GPT 4o Mini: 0.6s 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 4o Mini accepts 128,000 input tokens. Maximum output per request is 128,000 tokens on Claude Opus 4.8 and 16,384 tokens on GPT 4o Mini.

Which one generates tokens faster?

Claude Opus 4.8 at 82.6 tok/s and GPT 4o Mini at 52.2 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 4o Mini accepts text and image input.

Can I call Claude Opus 4.8 and GPT 4o Mini 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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