DeepSeek-V3.1 non-thinking mode has now been updated to the DeepSeek-V3.1-Terminus version.
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.
GLM 5.2GLM-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.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
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.
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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