LLM Reference

DeepSeek R1 Basic vs GLM-5V-Turbo

DeepSeek R1 Basic (2025) and GLM-5V-Turbo (2026) are frontier-tier reasoning models from DeepSeek and Zhipu AI. DeepSeek R1 Basic ships a 160k-token context window, while GLM-5V-Turbo ships a 200k-token context window. On pricing, DeepSeek R1 Basic costs $0.56/1M input tokens versus $1.20/1M 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.

DeepSeek R1 Basic is ~114% cheaper at $0.56/1M; pay for GLM-5V-Turbo only for long-context analysis.

Decision scorecard

Local evidence first
SignalDeepSeek R1 BasicGLM-5V-Turbo
Best forreasoning-heavy appsreasoning-heavy apps, multimodal apps, and tool-calling agents
Decision fitLong contextRAG, Agents, and Long context
Context window160k200k
Cheapest output$1.68/1M tokens$4/1M tokens
Provider routes1 tracked2 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose DeepSeek R1 Basic when...
  • DeepSeek R1 Basic has the lower cheapest tracked output price at $1.68/1M tokens.
  • Local decision data tags DeepSeek R1 Basic for Long context.
Choose GLM-5V-Turbo when...
  • GLM-5V-Turbo has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GLM-5V-Turbo has broader tracked provider coverage for fallback and procurement flexibility.
  • GLM-5V-Turbo uniquely exposes Vision, Multimodal, and Function calling in local model data.
  • Local decision data tags GLM-5V-Turbo for RAG, Agents, and Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate DeepSeek R1 Basic

DeepSeek R1 Basic

$868

Cheapest tracked route/tier: Fireworks AI

GLM-5V-Turbo

$1,960

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $1,092. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

DeepSeek R1 Basic -> GLM-5V-Turbo
  • No overlapping tracked provider route is sourced for DeepSeek R1 Basic and GLM-5V-Turbo; plan for SDK, billing, or endpoint changes.
  • GLM-5V-Turbo is $2.32/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • GLM-5V-Turbo adds Vision, Multimodal, and Function calling in local capability data.
GLM-5V-Turbo -> DeepSeek R1 Basic
  • No overlapping tracked provider route is sourced for GLM-5V-Turbo and DeepSeek R1 Basic; plan for SDK, billing, or endpoint changes.
  • DeepSeek R1 Basic is $2.32/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.

Specs

Specification
Released2025-01-012026-04-01
Context window160k200k
Parameters671B744B total, 40B active
Architecturedecoder onlymixture of experts
LicenseMIT(OSI)MIT(OSI)
OpennessOpen sourceOpen source
Commercial useCommercial use allowedCommercial use allowed
Knowledge cutoff-2025-11

Pricing and availability

Pricing attributeDeepSeek R1 BasicGLM-5V-Turbo
Input price$0.56/1M tokens$1.20/1M tokens
Output price$1.68/1M tokens$4/1M tokens
Providers

Capabilities

CapabilityDeepSeek R1 BasicGLM-5V-Turbo
VisionNoYes
MultimodalNoYes
ReasoningYesYes
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: GLM-5V-Turbo, multimodal input: GLM-5V-Turbo, function calling: GLM-5V-Turbo, tool use: GLM-5V-Turbo, and structured outputs: GLM-5V-Turbo. Both models share reasoning mode, 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.

For cost, DeepSeek R1 Basic lists $0.56/1M input and $1.68/1M output tokens on the cheapest tracked provider, while GLM-5V-Turbo lists $1.20/1M input and $4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek R1 Basic lower by about $1.14 per million blended tokens. Availability is 1 providers versus 2, so concentration risk also matters.

Choose DeepSeek R1 Basic when provider fit and lower input-token cost are central to the workload. Choose GLM-5V-Turbo when long-context analysis, 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.

FAQ

Which has a larger context window, DeepSeek R1 Basic or GLM-5V-Turbo?

GLM-5V-Turbo supports 200k tokens, while DeepSeek R1 Basic supports 160k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, DeepSeek R1 Basic or GLM-5V-Turbo?

DeepSeek R1 Basic is cheaper on tracked token pricing. DeepSeek R1 Basic costs $0.56/1M input and $1.68/1M output tokens. GLM-5V-Turbo costs $1.20/1M input and $4/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is DeepSeek R1 Basic or GLM-5V-Turbo open source?

DeepSeek R1 Basic is listed under MIT. GLM-5V-Turbo 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 vision, DeepSeek R1 Basic or GLM-5V-Turbo?

GLM-5V-Turbo has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, DeepSeek R1 Basic or GLM-5V-Turbo?

GLM-5V-Turbo has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run DeepSeek R1 Basic and GLM-5V-Turbo?

DeepSeek R1 Basic is available on Fireworks AI. GLM-5V-Turbo is available on OpenRouter and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.