DeepSeek V4 Pro vs GLM-5.2
DeepSeek V4 Pro (2026) and GLM-5.2 (2026) are frontier-tier reasoning models from DeepSeek and Zhipu AI. DeepSeek V4 Pro ships a 1m-token context window, while GLM-5.2 ships a 1m-token context window. On SWE-bench Pro, GLM-5.2 leads by 6.7 pts. On pricing, DeepSeek V4 Pro costs $0.43/1M input tokens versus $1.40/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
DeepSeek V4 Pro is ~222% cheaper at $0.43/1M; pay for GLM-5.2 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | DeepSeek V4 Pro | GLM-5.2 |
|---|---|---|
| Best for | reasoning-heavy apps, tool-calling agents, and long-context analysis | reasoning-heavy apps, tool-calling agents, and long-context analysis |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 1m |
| Cheapest output | $0.87/1M tokens | $4.40/1M tokens |
| Provider routes | 5 tracked | 1 tracked |
| Shared benchmarks | 4 shared | SWE-bench Pro leader |
Decision tradeoffs
- DeepSeek V4 Pro has the lower cheapest tracked output price at $0.87/1M tokens.
- DeepSeek V4 Pro has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags DeepSeek V4 Pro for Coding, RAG, and Agents.
- GLM-5.2 holds a shared-benchmark lead on SWE-bench Pro, ahead by 6.7 points.
- GLM-5.2 uniquely exposes Code execution in local model data.
- Local decision data tags GLM-5.2 for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek V4 Pro
$566
Cheapest tracked route/tier: DeepSeek Platform
GLM-5.2
$2,220
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $1,655. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GLM-5.2 is $3.53/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GLM-5.2 adds Code execution in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- DeepSeek V4 Pro is $3.53/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
Specs
Pricing and availability
| Pricing attribute | DeepSeek V4 Pro | GLM-5.2 |
|---|---|---|
| Input price | $0.43/1M tokens | $1.40/1M tokens |
| Output price | $0.87/1M tokens | $4.40/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V4 Pro | GLM-5.2 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek V4 Pro | GLM-5.2 |
|---|---|---|
| SWE-bench Pro | 55.4 | 62.1 |
| Google-Proof Q&A | 90.1 | 91.2 |
| Humanity's Last Exam | 37.7 | 40.5 |
| MCP-Atlas | 73.6 | 76.8 |
Deep dive
On shared benchmark coverage, SWE-bench Pro has DeepSeek V4 Pro at 55.4 and GLM-5.2 at 62.1, with GLM-5.2 ahead by 6.7 points; Google-Proof Q&A has DeepSeek V4 Pro at 90.1 and GLM-5.2 at 91.2, with GLM-5.2 ahead by 1.1 points; Humanity's Last Exam has DeepSeek V4 Pro at 37.7 and GLM-5.2 at 40.5, with GLM-5.2 ahead by 2.8 points. The largest visible gap is 6.7 points on SWE-bench Pro, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on code execution: GLM-5.2. Both models share reasoning mode, function calling, tool use, and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, DeepSeek V4 Pro lists $0.43/1M input and $0.87/1M output tokens on the cheapest tracked provider, while GLM-5.2 lists $1.40/1M input and $4.40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek V4 Pro lower by about $1.73 per million blended tokens. Availability is 5 providers versus 1, so concentration risk also matters.
Choose DeepSeek V4 Pro when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose GLM-5.2 when coding workflow support are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, DeepSeek V4 Pro or GLM-5.2?
DeepSeek V4 Pro supports 1m tokens, while GLM-5.2 supports 1m tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, DeepSeek V4 Pro or GLM-5.2?
DeepSeek V4 Pro is cheaper on tracked token pricing. DeepSeek V4 Pro costs $0.43/1M input and $0.87/1M output tokens. GLM-5.2 costs $1.40/1M input and $4.40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V4 Pro or GLM-5.2 open source?
DeepSeek V4 Pro is listed under MIT. GLM-5.2 is listed under MIT. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for reasoning mode, DeepSeek V4 Pro or GLM-5.2?
Both DeepSeek V4 Pro and GLM-5.2 expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for function calling, DeepSeek V4 Pro or GLM-5.2?
Both DeepSeek V4 Pro and GLM-5.2 expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run DeepSeek V4 Pro and GLM-5.2?
DeepSeek V4 Pro is available on DeepSeek Platform, Fireworks AI, OpenRouter, Vercel AI Gateway, and Novita AI. GLM-5.2 is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-16. Data sourced from public model cards and provider documentation.