DeepSeek V4-Pro wins on coding (93 vs 90) and price ($0.435 vs $1.4/1M input). For most workflows, DeepSeek V4-Pro is the stronger default — best open-weights flagship — near-frontier coding at a tenth of the price.
The safest DeepSeek V4-Pro vs GLM-5.2 default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
DeepSeek V4-Pro is the strongest answer here for DeepSeek V4-Pro vs GLM-5.2 — pick it when quality of output matters more than the $0.43/1M/1M input you pay for it.
GPT-5.1-Codex-Max is the cheaper way in for DeepSeek V4-Pro vs GLM-5.2, at $1.25/1M/1M input against DeepSeek V4-Pro's $0.43/1M/1M.
GLM-5.2 is the fastest of these for DeepSeek V4-Pro vs GLM-5.2 — worth it when latency is what the reader notices, not the last few points of reasoning depth.
DeepSeek V4-Pro leads on coding with a score of 93 vs 90 for GLM-5.2.
DeepSeek V4-Pro is cheaper at $0.435/1M input tokens vs $1.4/1M for GLM-5.2.
DeepSeek V4-Pro is the stronger default for coding tasks.
Go with DeepSeek V4-Pro if you want one model to handle coding and reasoning — it targets frontier-level coding and reasoning on a budget.
Switch to GLM-5.2 when your work is mostly budget agentic coding at scale; on that narrower brief it is the better tool.
Both models serve different primary workflows — DeepSeek V4-Pro for frontier-level coding and reasoning on a budget, GLM-5.2 for budget agentic coding at scale — so running each where it has a clear edge often beats forcing one to do both.
Switch the scoring lens to see whether the DeepSeek V4-Pro vs GLM-5.2 answer changes when cost, speed, or long-document depth leads the decision.
DeepSeek / Budget / Aug 6, 2026
Best open-weights flagship — near-frontier coding at a tenth of the price.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need vision input, verified agentic performance, or predictable pricing (surge pricing and an announced increase loom).
Where the DeepSeek V4-Pro vs GLM-5.2 recommendation shifts once you weigh price or latency differently.
Best open-weights flagship — near-frontier coding at a tenth of the price.
Top open-weights coder — beats GPT-5.5 at a sixth of the cost.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| DeepSeek V4-ProDeepSeek | $0.43/1M | $0.87/1M | $6.09 | 1M tokens | Balanced | 93 | 80 | 85 |
| GLM-5.2Z.ai | $1.40/1M | $4.40/1M | $23 | 1M tokens | Balanced | 90 | 78 | 80 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for DeepSeek V4-Pro vs GLM-5.2, what it is genuinely good at, and where we would steer you away from it.
Ranked first here for DeepSeek V4-Pro vs GLM-5.2: 93/100 on coding, with the widest margin of anything in this line-up.
DeepSeek's 1.6T-parameter (49B active) MoE flagship with hybrid sparse attention — near-frontier coding and reasoning at roughly a tenth of closed-rival pricing, MIT-licensed open weights.
You need vision input, verified agentic performance, or predictable pricing (surge pricing and an announced increase loom).
The open-weights frontier flagship of 2026. Self-reported numbers flatter it and independent agentic scores land lower, but even discounted it's the most capability per dollar in the directory's upper tier — with MIT-licensed weights.
Full pricing, benchmark table and release notes on the DeepSeek V4-Pro page.
The fastest model in this shortlist for DeepSeek V4-Pro vs GLM-5.2. Pick it when turnaround is what your readers or users notice.
Z.ai's MIT-licensed open-weight flagship — the top open-weights coding model of mid-2026, beating GPT-5.5 on agentic coding benchmarks at roughly a sixth of the cost.
You need frontier reasoning ceiling or launch-day verified benchmarks.
The open-weights coding value king of mid-2026 — GPT-5.5-beating agentic coding at a fraction of the price, with an MIT license. DeepSeek V4-Flash undercuts it on price; GLM-5.2 answers with higher ceiling and two reasoning-effort modes.
Full pricing, benchmark table and release notes on the GLM-5.2 page.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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DeepSeek V4-Pro wins on more of the categories we score — coding, reasoning, budget — so it is the better default of the two. GLM-5.2 is the better pick when your work is mostly budget agentic coding at scale. Neither is universally "better": DeepSeek V4-Pro is aimed at frontier-level coding and reasoning on a budget, GLM-5.2 at budget agentic coding at scale.
DeepSeek V4-Pro is cheaper at $0.435/1M input and $0.87/1M output. GLM-5.2 costs $1.4/1M input and $4.4/1M output.
Both DeepSeek V4-Pro and GLM-5.2 have the same 1M context window.
DeepSeek V4-Pro is better for coding with a score of 93 vs GLM-5.2's 90 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.
Both DeepSeek V4-Pro and GLM-5.2 have similar speed profiles — rated balanced. Neither will be the bottleneck if latency is your deciding factor.
Independent harnesses report much lower agentic scores than the self-reported numbers; trails GPT-5.6 and Opus-class on hard agentic evals. Peak-hour surge pricing doubles rates, a price increase is announced, and it's text-only (no vision). Avoid it if you need vision input, verified agentic performance, or predictable pricing (surge pricing and an announced increase loom). That is the main case for looking at GLM-5.2 instead.
Clear gap to the closed frontier: AA Index 51 vs Claude Opus 5 (61) and GPT-5.6 Sol (59). Z.ai published no benchmark numbers at launch — buyers depended on third-party evals that arrived weeks later. Avoid it if you need frontier reasoning ceiling or launch-day verified benchmarks. Against DeepSeek V4-Pro specifically, the gap shows up most on coding (93 vs 90).
Take a moderate workload of 10M input and 2M output tokens a month. DeepSeek V4-Pro runs $6.09 (at $0.435/1M in and $0.87/1M out); GLM-5.2 runs $22.80 (at $1.4/1M in and $4.4/1M out). That is a $16.71/month difference — DeepSeek V4-Pro is the cheaper of the two at this volume, and the gap scales linearly as you send more. Output tokens dominate the bill on both, so prompt length matters far less than response length.
Yes, and for most teams that beats picking one. A common split is DeepSeek V4-Pro for frontier-level coding and reasoning on a budget, with GLM-5.2 handling budget agentic coding at scale. Since DeepSeek V4-Pro is both the stronger and the cheaper option here, a split mainly makes sense if GLM-5.2 covers a capability you specifically need.