Models

DeepSeek V3.1 Terminus vs GLM 5.2

Output tokens cost $1.68 per million on DeepSeek V3.1 Terminus and $3.94 per million on GLM 5.2. Input tokens cost $0.56 per million on DeepSeek V3.1 Terminus and $1.13 per million on GLM 5.2. Cached input tokens are billed at $0.56 per million on DeepSeek V3.1 Terminus and $0.28 per million on GLM 5.2. Context lengths are 160,000 tokens on DeepSeek V3.1 Terminus and 1,000,000 tokens on GLM 5.2. Time to first token (TTFT) measured on AIHubMix is 1.3s on DeepSeek V3.1 Terminus and 1.1s on GLM 5.2. Measured output throughput is 31.5 tok/s on DeepSeek V3.1 Terminus and 37.0 tok/s on GLM 5.2. On the LMArena coding leaderboard DeepSeek V3.1 Terminus scores 1439 and GLM 5.2 scores 1505.

DeepSeekDeepSeek V3.1 TerminusZ.AIGLM 5.2
DeepSeek logo
DeepSeek V3.1 Terminus
DeepSeek · text → text

DeepSeek-V3.1 non-thinking mode has now been updated to the DeepSeek-V3.1-Terminus version.

Input$0.56 /M
Output$1.68 /M
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

Pricing & Specifications

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

DeepSeek V3.1 Terminus
GLM 5.2
Input /M
$0.56
$1.13
Output /M
$1.68
$3.94
Cache read /M
$0.56
$0.28
Context length
160,000
1,000,000
Max output
32,000
128,000
Time to First Token
1.3 s
1.1 s
Throughput
31.5 tok/s
37.0 tok/s
Modalities
text
text
Supported Parameters
toolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
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June 16, 2026

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.

DeepSeek-V3.1-Terminusglm-5.2

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.

DeepSeek-V3.1-Terminusglm-5.2

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
DeepSeek-V3.1-Terminusglm-5.2
1360142014801540
Overall
14161470
Coding
14391505
Math
13951475
Hard prompts
14241488
Instruction following
13941462
Multi-turn
13941470
Creative writing
14081450
Longer query
14191479
Chinese
15161516
English
14231477

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.

DeepSeek V3.1 Terminus
$58.80 /mo
GLM 5.2
$127 /mo

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

FAQ

Which is cheaper: DeepSeek V3.1 Terminus, GLM 5.2?

DeepSeek V3.1 Terminus: $1.68/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GLM 5.2: 1505; DeepSeek V3.1 Terminus: 1439 (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?

DeepSeek V3.1 Terminus accepts 160,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 32,000 tokens on DeepSeek V3.1 Terminus and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

GLM 5.2 at 37.0 tok/s and DeepSeek V3.1 Terminus at 31.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

DeepSeek V3.1 Terminus accepts text input and supports tool calling, function calling and structured outputs; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.

Can I call DeepSeek V3.1 Terminus and GLM 5.2 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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