DeepSeek V3 Base vs GLM-5
DeepSeek V3 Base (2024) and GLM-5 (2026) are frontier reasoning models from DeepSeek and Zhipu AI. DeepSeek V3 Base ships a 128k-token context window, while GLM-5 ships a 200k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
GLM-5 is safer overall; choose DeepSeek V3 Base when provider fit matters.
Decision scorecard
Local evidence first| Signal | DeepSeek V3 Base | GLM-5 |
|---|---|---|
| Best for | general production evaluation | reasoning-heavy apps, tool-calling agents, and provider-routed production |
| Decision fit | Long context | Coding, RAG, and Agents |
| Context window | 128k | 200k |
| Cheapest output | - | $2.08/1M tokens |
| Provider routes | 0 tracked | 7 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags DeepSeek V3 Base for Long context.
- GLM-5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GLM-5 has broader tracked provider coverage for fallback and procurement flexibility.
- GLM-5 uniquely exposes Reasoning, Function calling, and 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 V3 Base
Unavailable
No complete token price in local provider data
GLM-5
$1,000
Cheapest tracked route/tier: OpenRouter
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for DeepSeek V3 Base and GLM-5; plan for SDK, billing, or endpoint changes.
- GLM-5 adds Reasoning, Function calling, and Tool use in local capability data.
- No overlapping tracked provider route is sourced for GLM-5 and DeepSeek V3 Base; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-26 | 2026-02-11 |
| Context window | 128k | 200k |
| Parameters | 671B total, 37B active (MoE) | 744B total, 40B active |
| Architecture | mixture of experts | mixture of experts |
| License | MIT(OSI) | MIT(OSI) |
| Openness | Open source | Open source |
| Commercial use | Commercial use allowed | Commercial use allowed |
| Knowledge cutoff | 2024-07 | 2025-11 |
Pricing and availability
| Pricing attribute | DeepSeek V3 Base | GLM-5 |
|---|---|---|
| Input price | - | $0.60/1M tokens |
| Output price | - | $2.08/1M tokens |
| Providers | - |
Capabilities
| Capability | DeepSeek V3 Base | GLM-5 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: GLM-5, function calling: GLM-5, tool use: GLM-5, and structured outputs: GLM-5. Both models share the core language-model surface, 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.
Pricing coverage is uneven: DeepSeek V3 Base has no token price sourced yet and GLM-5 has $0.60/1M input tokens. Provider availability is 0 tracked routes versus 7. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose DeepSeek V3 Base when provider fit are central to the workload. Choose GLM-5 when reasoning depth, larger context windows, 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. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, DeepSeek V3 Base or GLM-5?
GLM-5 supports 200k tokens, while DeepSeek V3 Base supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is DeepSeek V3 Base or GLM-5 open source?
DeepSeek V3 Base 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 V3 Base or GLM-5?
GLM-5 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, DeepSeek V3 Base or GLM-5?
GLM-5 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for tool use, DeepSeek V3 Base or GLM-5?
GLM-5 has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek V3 Base and GLM-5?
DeepSeek V3 Base 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: 2026-05-22. Data sourced from public model cards and provider documentation.