API cost decision in 10 seconds

GLM 5 Turbo vs Qwen3 Max Thinking

Pick Qwen3 Max Thinking when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Qwen3 Max Thinking when budget and context both matter.

On the standard 1M input plus 500K output workload, Qwen3 Max Thinking is estimated at $2.73 vs $3.2 for GLM 5 Turbo, saving $0.47 (14.7% lower).

Cost-first pickQwen3 Max Thinking
Context-first pickQwen3 Max Thinking
Sample savings$0.4714.7%
10x traffic gap$4.7

Qwen3 Max Thinking is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $4.7. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3 Max Thinking stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGLM 5 TurboQwen3 Max Thinking
Input-heavy / RAG5M input + 500K outputQwen3 Max Thinking$8$5.85
Balanced workload1M input + 1M outputQwen3 Max Thinking$5.2$4.68
Output-heavy chatbot1M input + 5M outputQwen3 Max Thinking$21.2$20.28
Cheaper input Qwen3 Max Thinking $1.2 vs $0.78 / 1M

Qwen3 Max Thinking is $0.42 cheaper per 1M input tokens (35% lower; 1.54x difference).

Cheaper output Qwen3 Max Thinking $4 vs $3.9 / 1M

Qwen3 Max Thinking is $0.1 cheaper per 1M output tokens (2.5% lower; 1.03x difference).

Larger context Qwen3 Max Thinking 202.75K vs 262.14K

Qwen3 Max Thinking has 59.39K more context (1.29x larger).

Sample workload Qwen3 Max Thinking $3.2 vs $2.73

Qwen3 Max Thinking is $0.47 cheaper on the standard workload (14.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GLM 5 Turbo Calculating… Estimated API cost
Qwen3 Max Thinking Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Qwen3 Max Thinking has the lower input price; Qwen3 Max Thinking has the lower output price; Qwen3 Max Thinking offers the larger context window. For the 1M input plus 500K output sample, Qwen3 Max Thinking is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $3.2 for GLM 5 Turbo and $2.73 for Qwen3 Max Thinking.

Best Fit

Choose GLM 5 Turbo when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Qwen3 Max Thinking when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3 Max Thinking is estimated at $2.73 vs $3.2 for GLM 5 Turbo, saving $0.47 (14.7% lower).
  • Qwen3 Max Thinking is $0.47 cheaper on the standard workload (14.7% lower).
  • Qwen3 Max Thinking is $0.42 cheaper per 1M input tokens (35% lower; 1.54x difference).
  • Qwen3 Max Thinking is $0.1 cheaper per 1M output tokens (2.5% lower; 1.03x difference).
  • Qwen3 Max Thinking has 59.39K more context (1.29x larger).
Head-to-Head Specs
FeatureGLM 5 Turbo
(Z.ai)		Qwen3 Max Thinking
(Qwen)
Input Price
prompt tokens per 1M		$1.2$0.78
Completion Price
per 1M tokens		$4$3.9
Sample Workload Cost
1M input + 500K output		$3.2$2.73
Context Window202.75K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3 Max ThinkingOn the standard 1M input plus 500K output workload, Qwen3 Max Thinking is estimated at $2.73 vs $3.2 for GLM 5 Turbo, saving $0.47 (14.7% lower).
High-volume input processingQwen3 Max ThinkingLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3 Max ThinkingLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workQwen3 Max ThinkingA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • GLM 4.5 Air (free) can replace GLM 5 Turbo when lower sample workload cost matters most: $0.
  • GLM 4 32B can replace GLM 5 Turbo when lower sample workload cost matters most: $0.15.
  • GLM 4.7 Flash can replace GLM 5 Turbo when lower sample workload cost matters most: $0.26.
  • GLM 4.5 Air can replace GLM 5 Turbo when lower sample workload cost matters most: $0.55.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.

Cheaper alternatives

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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Z.ai catalog

Review all tracked Z.ai models before deciding whether this matchup is the right shortlist.

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Qwen catalog

Check other Qwen models with comparable pricing, context, or release timing.

Open Qwen models
GLM 5 Turbo

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows...

Qwen3 Max Thinking

Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...