Models

GLM 5.2 vs Grok 4.20 Multi Agent Beta 0309

Output tokens cost $3.94 per million on GLM 5.2 and $6.00 per million on Grok 4.20 Multi Agent Beta 0309. Input tokens cost $1.13 per million on GLM 5.2 and $2.00 per million on Grok 4.20 Multi Agent Beta 0309. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.20 per million on Grok 4.20 Multi Agent Beta 0309. Context lengths are 1,000,000 tokens on GLM 5.2 and 2,000,000 tokens on Grok 4.20 Multi Agent Beta 0309. Time to first token (TTFT) measured on AIHubMix is 1.1s on GLM 5.2 and 4.3s on Grok 4.20 Multi Agent Beta 0309. Measured output throughput is 36.4 tok/s on GLM 5.2 and 42.9 tok/s on Grok 4.20 Multi Agent Beta 0309. On the LMArena coding leaderboard GLM 5.2 scores 1505 and Grok 4.20 Multi Agent Beta 0309 scores 1510.

Z.AIGLM 5.2GrokGrok 4.20 Multi Agent Beta 0309
Z.AI logo
GLM 5.2
Z.AI · text → text

GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.

Input$1.13 /M
Output$3.94 /M
Grok logo
Grok 4.20 Multi Agent Beta 0309
Grok · text, image → text

Grok 4.20 Beta is our latest flagship model, offering industry-leading speed and agent tool-invocation capabilities. It combines the lowest hallucination rate on the market with strict prompt adherence, enabling it to consistently deliver precise and factual responses.

Input$2.00 /M
Output$6.00 /M

Pricing & Specifications

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

GLM 5.2
Grok 4.20 Multi Agent Beta 0309
Input /M
$1.13
$2.00
Output /M
$3.94
$6.00
Cache read /M
$0.28
$0.20
Context length
1,000,000
2,000,000
Max output
128,000
2,000,000
Time to First Token
1.1 s
4.3 s
Throughput
36.4 tok/s
42.9 tok/s
Modalities
text
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputslong context
API Formats
chat_completions · claude_api
Released
June 16, 2026
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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.

glm-5.2grok-4.20-multi-agent-beta-0309

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.

glm-5.2grok-4.20-multi-agent-beta-0309

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
glm-5.2grok-4.20-multi-agent-beta-0309
1420146015001540
Overall
14701471
Coding
15051510
Math
14501475
Hard prompts
14841488
Instruction following
14421462
Multi-turn
14701474
Creative writing
14481450
Longer query
14581479
Chinese
15001516
English
14731477

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 5.2
$127 /mo
Grok 4.20 Multi Agent Beta 0309
$210 /mo

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

FAQ

Which is cheaper: GLM 5.2, Grok 4.20 Multi Agent Beta 0309?

GLM 5.2: $3.94/M output tokens; Grok 4.20 Multi Agent Beta 0309: $6.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Grok 4.20 Multi Agent Beta 0309: 1510; GLM 5.2: 1505 (LMArena coding leaderboard).

Which responds faster?

GLM 5.2: 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?

GLM 5.2 accepts 1,000,000 and Grok 4.20 Multi Agent Beta 0309 accepts 2,000,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 2,000,000 tokens on Grok 4.20 Multi Agent Beta 0309.

Which one generates tokens faster?

Grok 4.20 Multi Agent Beta 0309 at 42.9 tok/s and GLM 5.2 at 36.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; Grok 4.20 Multi Agent Beta 0309 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.

Can I call GLM 5.2 and Grok 4.20 Multi Agent Beta 0309 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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