DeepSeek-V4-Flash-0731(deepseek-v4-flash-0731) is an open-source MoE large language model developed by the Chinese AI company DeepSeek, with support for a million-token context window. It is designed for coding, complex reasoning, tool use, agentic workflows, and long-document processing. Its advantages include strong performance with fewer active parameters and improved efficiency through DSpark speculative decoding. Compared with DeepSeek V4-Flash Preview, it offers significantly stronger coding and agent capabilities, while outperforming DeepSeek V4-Pro Preview on several benchmarks with fewer active parameters.
DeepSeek V4 Flash 0731 vs GLM 5.3 Flash
Compare DeepSeek V4 Flash 0731 from DeepSeek and GLM 5.3 Flash 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.
GLM 5.3 FlashGLM-5.3-Flash is a high-efficiency multimodal model from Z.AI. It supports a context window of roughly 1 million tokens, along with text, image, and video inputs, and includes tool-calling capabilities. It is primarily designed for coding agents, complex reasoning, and long-horizon software engineering tasks. Built on the existing GLM technology stack, the model has been further post-trained and optimized to deliver strong performance while placing greater emphasis on inference efficiency, responsiveness, and cost.The model is offered at a limited-time 50% discount; users are welcome to try it.
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 V4 Flash 0731, GLM 5.3 Flash?
GLM 5.3 Flash: $0.20/M output tokens; DeepSeek V4 Flash 0731: $0.28/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
GLM 5.3 Flash: 1531; DeepSeek V4 Flash 0731: 1483 (LMArena coding leaderboard).
Which responds faster?
DeepSeek V4 Flash 0731: 1.4s 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 V4 Flash 0731 accepts 1,000,000 and GLM 5.3 Flash accepts 1,000,000 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Flash 0731 and 128,000 tokens on GLM 5.3 Flash.
Which one generates tokens faster?
GLM 5.3 Flash at 547.3 tok/s and DeepSeek V4 Flash 0731 at 377.5 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 V4 Flash 0731 accepts text input and supports tool calling, function calling, structured outputs and thinking; GLM 5.3 Flash accepts text, image and video input and supports thinking, tool calling, function calling and structured outputs.
Can I call DeepSeek V4 Flash 0731 and GLM 5.3 Flash 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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