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DeepSeek V4 Flash vs GLM-5

DeepSeek V4 Flash (2026) and GLM-5 (2026) are frontier-tier reasoning models from DeepSeek and Zhipu AI. DeepSeek V4 Flash ships a 1M-token context window, while GLM-5 ships a 200k-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

DeepSeek V4 Flash fits 5x more tokens; pick it for long-context work and GLM-5 for tighter calls.

Specs

Released2026-04-242026-02-11
Context window1M200k
Parameters284B744B total, 40B active
Architecturemixture of expertsmixture of experts
LicenseMITMIT
Knowledge cutoff--

Pricing and availability

DeepSeek V4 FlashGLM-5
Input price-$0.72/1M tokens
Output price-$2.3/1M tokens
Providers-

Capabilities

DeepSeek V4 FlashGLM-5
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

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 Flash 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 Flash 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. 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 V4 Flash or GLM-5?

DeepSeek V4 Flash 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 Flash or GLM-5 open source?

DeepSeek V4 Flash 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 Flash or GLM-5?

Both DeepSeek V4 Flash 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 Flash or GLM-5?

Both DeepSeek V4 Flash 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 Flash or GLM-5?

Both DeepSeek V4 Flash 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 Flash and GLM-5?

DeepSeek V4 Flash 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.