DeepSeek R1 0528 vs GLM-5
DeepSeek R1 0528 (2025) and GLM-5 (2026) are frontier-tier reasoning models from DeepSeek and Zhipu AI. DeepSeek R1 0528 ships a 130k-token context window, while GLM-5 ships a 200k-token context window. On MMLU PRO, GLM-5 leads by 1 pts. On pricing, DeepSeek R1 0528 costs $0.50/1M input tokens versus $0.60/1M 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.
GLM-5 is safer overall; choose DeepSeek R1 0528 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | DeepSeek R1 0528 | GLM-5 |
|---|---|---|
| Best for | reasoning-heavy apps and provider-routed production | reasoning-heavy apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 130k | 200k |
| Cheapest output | $2.15/1M tokens | $2.08/1M tokens |
| Provider routes | 7 tracked | 7 tracked |
| Shared benchmarks | 5 shared | MMLU PRO leader |
Decision tradeoffs
- DeepSeek R1 0528 uniquely exposes Code execution in local model data.
- Local decision data tags DeepSeek R1 0528 for Coding, RAG, and Agents.
- GLM-5 holds a shared-benchmark lead on MMLU PRO, ahead by 1 points.
- GLM-5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GLM-5 has the lower cheapest tracked output price at $2.08/1M tokens.
- GLM-5 uniquely exposes JSON / Tool use in local model data.
- Local decision data tags GLM-5 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 R1 0528
$938
Cheapest tracked route/tier: OpenRouter
GLM-5
$1,000
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $62.50. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Fireworks AI, OpenRouter, and Together AI; start route-level A/B tests there.
- GLM-5 is $0.07/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- GLM-5 adds JSON / Tool use in local capability data.
- Provider overlap exists on Together AI, Fireworks AI, and GCP Vertex AI; start route-level A/B tests there.
- DeepSeek R1 0528 is $0.07/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for JSON / Tool use before moving production traffic.
- DeepSeek R1 0528 adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-05-28 | 2026-02-11 |
| Context window | 130k | 200k |
| Parameters | 685B total, 37B active (MoE) | 744B total, 40B active |
| Architecture | Decoder Only | Mixture of Experts |
| License | MITOSI-approved | MITOSI-approved |
| Openness | Open source | Open source |
| Weights | Unknown | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | - | 2025-11 |
Pricing and availability
| Pricing attribute | DeepSeek R1 0528 | GLM-5 |
|---|---|---|
| Input price | $0.50/1M tokens | $0.60/1M tokens |
| Output price | $2.15/1M tokens | $2.08/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek R1 0528 | GLM-5 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | Yes |
| JSON / Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek R1 0528 | GLM-5 |
|---|---|---|
| MMLU PRO | 85.0 | 86.0 |
| SWE-bench Verified | 57.6 | 77.8 |
| Google-Proof Q&A | 81.0 | 86.0 |
| AIME 2025 | 87.5 | 92.7 |
| LiveCodeBench | 73.3 | 81.9 |
Continue comparing
Popular comparisons for DeepSeek R1 0528
Popular comparisons for GLM-5
Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.