Models

Claude Opus 4.8 vs GLM 4.6

Compare Claude Opus 4.8 from Anthropic and GLM 4.6 from Z.AI 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 4.8Z.AIGLM 4.6
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
Z.AI logo
GLM 4.6
Z.AI · text → text

GLM-4.6 is Zhipu’s latest flagship model (total parameters 355B, activation parameters 32B), comprehensively surpassing GLM-4.5. Its coding capability is aligned with Claude Sonnet 4, making it a top domestic coding model; the context window has been expanded from 128K to 200K, better suited for long code and agent tasks; inference capabilities have been significantly enhanced and support tool invocation during processing; improvements have been made in tool calling, search agents, writing style, role play, and multilingual translation. The model is named glm-4.6 and is provided by three vendors, with calls prioritized to the Sophnet platform.

Input$0.274 /M
Output$1.0959 /M
Cache read$0.0548 /M

Pricing & Specifications

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

Claude Opus 4.8
GLM 4.6
Input /M
$5
$0.274
Output /M
$25
$1.0959
Cache read /M
$0.5
$0.0548
Context length
1,000,000
200,000
Max output
128,000
131,072
Time to First Token
1.1 s
1.7 s
Throughput
82.6 tok/s
34.4 tok/s
Modalities
textimagepdf
text
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
May 28, 2026
September 30, 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-4-8glm-4.6

Tokens / day

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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-4-8glm-4.6

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

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

Text
claude-opus-4-8glm-4.6
1380144015001560
Overall
14251473
Coding
14591527
Math
14211474
Hard prompts
14421503
Instruction following
14151477
Multi-turn
14221495
Creative writing
14031465
Longer query
14331499
Chinese
14821523
English
14371480
WebDev Arena
claude-opus-4-8glm-4.6
1340142015001580
Overall
13551540
React
15411541
HTML
13631527
Gaming
15731573
Simulations
15441544
Data analytics
15021502

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.

GLM 4.6
$32.88 /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, GLM 4.6?

GLM 4.6: $1.0959/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; GLM 4.6: 1459 (LMArena coding leaderboard).

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 GLM 4.6 accepts 200,000 input tokens. Maximum output per request is 128,000 tokens on Claude Opus 4.8 and 131,072 tokens on GLM 4.6.

Which one generates tokens faster?

Claude Opus 4.8 at 82.6 tok/s and GLM 4.6 at 34.4 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; GLM 4.6 accepts text input and supports thinking, tool calling, function calling and structured outputs.

Can I call Claude Opus 4.8 and GLM 4.6 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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