DeepSeek V4 Pro vs GLM-5
DeepSeek V4 Pro (2026) and GLM-5 (2026) are frontier-tier reasoning models from DeepSeek and Zhipu AI. DeepSeek V4 Pro ships a 1M-token context window, while GLM-5 ships a 200k-token context window. On SWE-bench Verified, DeepSeek V4 Pro leads by 2.8 pts. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
DeepSeek V4 Pro fits 5x more tokens; pick it for long-context work and GLM-5 for tighter calls.
Specs
| Released | 2026-04-24 | 2026-02-11 |
| Context window | 1M | 200k |
| Parameters | 1.6T | 744B total, 40B active |
| Architecture | mixture of experts | mixture of experts |
| License | MIT | MIT |
| Knowledge cutoff | - | - |
Pricing and availability
| DeepSeek V4 Pro | GLM-5 | |
|---|---|---|
| Input price | - | $0.72/1M tokens |
| Output price | - | $2.3/1M tokens |
| Providers | - |
Capabilities
| DeepSeek V4 Pro | GLM-5 | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | DeepSeek V4 Pro | GLM-5 |
|---|---|---|
| SWE-bench Verified | 80.6 | 77.8 |
Deep dive
On shared benchmark coverage, SWE-bench Verified has DeepSeek V4 Pro at 80.6 and GLM-5 at 77.8, with DeepSeek V4 Pro ahead by 2.8 points. The largest visible gap is 2.8 points on SWE-bench Verified, 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 is close: both models cover reasoning mode, function calling, tool use, and structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
Pricing coverage is uneven: DeepSeek V4 Pro has no token price sourced yet and GLM-5 has $0.72/1M input tokens. Provider availability is 0 tracked routes versus 5. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose DeepSeek V4 Pro when long-context analysis and larger context windows are central to the workload. Choose GLM-5 when provider fit and broader provider choice 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?
DeepSeek V4 Pro supports 1M tokens, while GLM-5 supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is DeepSeek V4 Pro or GLM-5 open source?
DeepSeek V4 Pro is listed under MIT. GLM-5 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?
Both DeepSeek V4 Pro and GLM-5 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?
Both DeepSeek V4 Pro and GLM-5 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.
Which is better for tool use, DeepSeek V4 Pro or GLM-5?
Both DeepSeek V4 Pro and GLM-5 expose tool use. 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?
DeepSeek V4 Pro is available on the tracked providers still being sourced. GLM-5 is available on Fireworks AI, OpenRouter, Together AI, GCP Vertex AI, and NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.