Models

GLM 5.2 vs grok-4.20-beta-0309-non-reasoning

Output tokens cost $3.94 per million on GLM 5.2 and $6.00 per million on grok-4.20-beta-0309-non-reasoning. Input tokens cost $1.13 per million on GLM 5.2 and $2.00 per million on grok-4.20-beta-0309-non-reasoning. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.20 per million on grok-4.20-beta-0309-non-reasoning. Context lengths are 1,000,000 tokens on GLM 5.2 and 2,000,000 tokens on grok-4.20-beta-0309-non-reasoning. Time to first token (TTFT) measured on AIHubMix is 0.6s on GLM 5.2 and 0.9s on grok-4.20-beta-0309-non-reasoning. Measured output throughput is 47.3 tok/s on GLM 5.2 and 89.0 tok/s on grok-4.20-beta-0309-non-reasoning.

Z.AIGLM 5.2Grokgrok-4.20-beta-0309-non-reasoning
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-beta-0309-non-reasoning
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-beta-0309-non-reasoning
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
0.6 s
0.9 s
Throughput
47.3 tok/s
89.0 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-beta-0309-non-reasoning

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-beta-0309-non-reasoning

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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Cost calculator

Estimate your monthly bill for the same workload on each model.

GLM 5.2
$127 /mo
grok-4.20-beta-0309-non-reasoning
$210 /mo

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

FAQ

Which is cheaper: GLM 5.2, grok-4.20-beta-0309-non-reasoning?

GLM 5.2: $3.94/M output tokens; grok-4.20-beta-0309-non-reasoning: $6.00/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

GLM 5.2: 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?

GLM 5.2 accepts 1,000,000 and grok-4.20-beta-0309-non-reasoning 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-beta-0309-non-reasoning.

Which one generates tokens faster?

grok-4.20-beta-0309-non-reasoning at 89.0 tok/s and GLM 5.2 at 47.3 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-beta-0309-non-reasoning 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-beta-0309-non-reasoning 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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