Models

Claude Opus 4.8 vs Llama 4 Maverick

Compare Claude Opus 4.8 from Anthropic and Llama 4 Maverick from Llama 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 4.8LlamaLlama 4 Maverick
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
Llama logo
Llama 4 Maverick
Llama · text, image → text

Llama 4 Maverick is a high-capacity Mixture-of-Experts (MoE) model from Meta, featuring 400B total parameters and 128 experts, while activating an efficient 17B parameters per inference. Engineered for peak performance, it excels at advanced multimodal tasks. Maverick natively supports text and image input, producing multilingual text and code. With a 1-million-token context window and instruction tuning, it is optimized for complex image reasoning and general-purpose assistant-like interactions. Released under the Llama 4 Community License, Maverick is ideal for research and commercial applications demanding state-of-the-art multimodal understanding and high throughput.

Input$0.2 /M
Output$0.2 /M

Pricing & Specifications

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

Claude Opus 4.8
Llama 4 Maverick
Input /M
$5
$0.2
Output /M
$25
$0.2
Cache read /M
$0.5
-
Context length
1,000,000
1,048,576
Max output
128,000
32,000
Time to First Token
1.1 s
0.1 s
Throughput
82.6 tok/s
97.8 tok/s
Modalities
textimagepdf
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
toolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
May 28, 2026
April 5, 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-4-8llama-4-maverick

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

claude-opus-4-8llama-4-maverick

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

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

Text
claude-opus-4-8llama-4-maverick
1280136014401520
Overall
13271473
Coding
13731527
Math
13191474
Hard prompts
13381503
Instruction following
13141477
Multi-turn
13241495
Creative writing
13071465
Longer query
13341499
Chinese
13301523
English
13401480
Vision
claude-opus-4-8llama-4-maverick
1120118012401300
Overall
11471279
OCR
11521294
Diagram
11511309
Homework
11611320

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.

Llama 4 Maverick
$15.00 /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, Llama 4 Maverick?

Llama 4 Maverick: $0.2/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; Llama 4 Maverick: 1373 (LMArena coding leaderboard).

Which responds faster?

Llama 4 Maverick: 0.1s 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 Llama 4 Maverick accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on Claude Opus 4.8 and 32,000 tokens on Llama 4 Maverick.

Which one generates tokens faster?

Llama 4 Maverick at 97.8 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; Llama 4 Maverick accepts text and image input and supports tool calling, function calling and structured outputs.

Can I call Claude Opus 4.8 and Llama 4 Maverick 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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