Models

DeepSeek V3 Fast vs GLM 5.2

Compare DeepSeek V3 Fast from DeepSeek and GLM 5.2 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.

DeepSeekDeepSeek V3 FastZ.AIGLM 5.2
DeepSeek logo
DeepSeek V3 Fast
DeepSeek · text → text

V3 Ultra-Fast Version,The current price is a limited-time 50% discount and will return to the original price on July 31st. The original price is: input: $0.55/M, output: $2.2/M. The model provider is the Sophnet platform. DeepSeek V3 Fast is a high-TPS, ultra-fast version of DeepSeek V3 0324, featuring full-precision (non-quantized) performance, enhanced code and math capabilities, and faster responses! DeepSeek V3 0324 is a powerful Mixture-of-Experts (MoE) model with a total parameter count of 671B, activating 37B parameters per token. It adopts Multi-Head Latent Attention (MLA) and the DeepSeekMoE architecture to achieve efficient inference and economical training costs. It innovatively implements a load balancing strategy without auxiliary loss and sets multi-token prediction training targets to enhance performance. The model is pre-trained on 14.8 trillion diverse, high-quality tokens and further optimized through supervised fine-tuning and reinforcement learning stages to fully realize its capabilities. Comprehensive evaluations show that DeepSeek V3 outperforms other open-source models and rivals leading closed-source models in performance. The entire training process only requires 2.788M H800 GPU hours and remains highly stable, with no irrecoverable loss spikes or rollbacks.

Input$0.56 /M
Output$2.24 /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 Fast
GLM 5.2
Input /M
$0.56
$1.13
Output /M
$2.24
$3.94
Cache read /M
$0.56
$0.28
Context length
32,000
1,000,000
Max output
32,000
128,000
Time to First Token
1.5 s
1.1 s
Throughput
150.0 tok/s
33.6 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-Fastglm-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-Fastglm-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-Fastglm-5.2
1340140014601520
Overall
13951470
Coding
14291505
Math
13701475
Hard prompts
14091488
Instruction following
13791462
Multi-turn
14101470
Creative writing
13901450
Longer query
13931479
Chinese
14141516
English
14081477

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 Fast
$67.20 /mo
GLM 5.2
$127 /mo

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

FAQ

Which is cheaper: DeepSeek V3 Fast, GLM 5.2?

DeepSeek V3 Fast: $2.24/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 Fast: 1429 (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 Fast accepts 32,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 32,000 tokens on DeepSeek V3 Fast and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

DeepSeek V3 Fast at 150.0 tok/s and GLM 5.2 at 33.6 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 Fast 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 Fast 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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