DeepSeek V4 Pro vs GLM-5.1
DeepSeek V4 Pro and GLM-5.1 are MIT-licensed open-weight models. Their official model cards publish 1M-token and 200K-token context limits, respectively. Comparable benchmark rows are withheld because the tracked figures identify different model modes, source owners, or undisclosed harnesses. Provider prices remain route-specific reference data, but a pending primary-source price audit means they do not support an overall winner.
No overall winner is assigned for this pair. Comparable benchmark rows are withheld because required row-level provenance is missing, and provider pricing remains pending a separate primary-source audit. Use the published 1M-token DeepSeek V4 Pro and 200K-token GLM-5.1 context limits plus tests of your exact deployment; do not infer a quality or cost winner from this page.
Decision scorecard
Local evidence first| Signal | DeepSeek V4 Pro | GLM-5.1 |
|---|---|---|
| Best for | reasoning-heavy apps, tool-calling agents, and long-context analysis | reasoning-heavy apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 200k |
| Cheapest output | $0.87/1M tokens | $3.50/1M tokens |
| Provider routes | 6 tracked | 5 tracked |
| Shared benchmarks | Withheld | Withheld |
Decision tradeoffs
- DeepSeek V4 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- 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 route flexibility.
- Local decision data tags DeepSeek V4 Pro for Coding, RAG, and Agents.
- GLM-5.1 uniquely exposes Code execution in local model data.
- Local decision data tags GLM-5.1 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-5.1
$1,715
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $1,150. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter, Fireworks AI, and Vercel AI Gateway; start route-level A/B tests there.
- GLM-5.1 is $2.63/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GLM-5.1 adds Code execution in local capability data.
- Provider overlap exists on Fireworks AI, OpenRouter, and Vercel AI Gateway; start route-level A/B tests there.
- DeepSeek V4 Pro is $2.63/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-24 | 2026-04-07 |
| Context window | 1m | 200k |
| Parameters | 1.6T | 754B total, 40B active |
| Architecture | Mixture of Experts | Mixture of Experts |
| License | MITOSI-approved | MITOSI-approved |
| Openness | Open source | Open source |
| Weights | Available | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | - | 2025-11 |
Pricing and availability
| Pricing attribute | DeepSeek V4 Pro | GLM-5.1 |
|---|---|---|
| Input price | $0.43/1M tokens | $1.05/1M tokens |
| Output price | $0.87/1M tokens | $3.50/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V4 Pro | GLM-5.1 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | Yes |
| JSON / 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
No like-for-like benchmark rows are shown for this pair.
Harness caveat. Comparable benchmark rows are not currently published for this pair. The tracked figures use different modes, source owners, or undisclosed harnesses; evaluate exact provider and agent configurations for your workload.
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Last reviewed: 2026-10-08. Data sourced from public model cards and provider documentation.