API cost decision in 10 seconds

GLM 5 Turbo vs Qwen3 Coder 30B A3B Instruct

Pick Qwen3 Coder 30B A3B Instruct for lower cost; pick GLM 5 Turbo only if the larger context window matters more.

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

Budget verdict

Pick Qwen3 Coder 30B A3B Instruct for lower cost; pick GLM 5 Turbo only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Qwen3 Coder 30B A3B Instruct is estimated at $0.21 vs $3.2 for GLM 5 Turbo, saving $3 (93.6% lower).

Cost-first pickQwen3 Coder 30B A3B Instruct
Context-first pickGLM 5 Turbo
Sample savings$393.6%
10x traffic gap$29.95

GLM 5 Turbo has more context, but Qwen3 Coder 30B A3B Instruct saves $3 on the standard workload. At 10x that traffic, the same price gap is about $29.95. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen3 Coder 30B A3B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGLM 5 TurboQwen3 Coder 30B A3B Instruct
Input-heavy / RAG5M input + 500K outputQwen3 Coder 30B A3B Instruct$8$0.49
Balanced workload1M input + 1M outputQwen3 Coder 30B A3B Instruct$5.2$0.34
Output-heavy chatbot1M input + 5M outputQwen3 Coder 30B A3B Instruct$21.2$1.42
Cheaper input Qwen3 Coder 30B A3B Instruct $1.2 vs $0.07 / 1M

Qwen3 Coder 30B A3B Instruct is $1.13 cheaper per 1M input tokens (94.2% lower; 17.1x difference).

Cheaper output Qwen3 Coder 30B A3B Instruct $4 vs $0.27 / 1M

Qwen3 Coder 30B A3B Instruct is $3.73 cheaper per 1M output tokens (93.2% lower; 14.8x difference).

Larger context GLM 5 Turbo 202.75K vs 160K

GLM 5 Turbo has 42.75K more context (1.27x larger).

Sample workload Qwen3 Coder 30B A3B Instruct $3.2 vs $0.21

Qwen3 Coder 30B A3B Instruct is $3 cheaper on the standard workload (93.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GLM 5 Turbo Calculating… Estimated API cost
Qwen3 Coder 30B A3B Instruct 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 Coder 30B A3B Instruct has the lower input price; Qwen3 Coder 30B A3B Instruct has the lower output price; GLM 5 Turbo offers the larger context window. For the 1M input plus 500K output sample, Qwen3 Coder 30B A3B Instruct 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 $0.21 for Qwen3 Coder 30B A3B Instruct.

Best Fit

Choose GLM 5 Turbo when you care most about larger context window.

Choose Qwen3 Coder 30B A3B Instruct when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Qwen3 Coder 30B A3B Instruct is estimated at $0.21 vs $3.2 for GLM 5 Turbo, saving $3 (93.6% lower).
  • Qwen3 Coder 30B A3B Instruct is $3 cheaper on the standard workload (93.6% lower).
  • Qwen3 Coder 30B A3B Instruct is $1.13 cheaper per 1M input tokens (94.2% lower; 17.1x difference).
  • Qwen3 Coder 30B A3B Instruct is $3.73 cheaper per 1M output tokens (93.2% lower; 14.8x difference).
  • GLM 5 Turbo has 42.75K more context (1.27x larger).
Head-to-Head Specs
FeatureGLM 5 Turbo
(Z.ai)
Qwen3 Coder 30B A3B Instruct
(Qwen)
Input Price
prompt tokens per 1M
$1.2$0.07
Completion Price
per 1M tokens
$4$0.27
Sample Workload Cost
1M input + 500K output
$3.2$0.21
Context Window202.75K160K
Release Date
Popularity#85#145

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen3 Coder 30B A3B InstructOn the standard 1M input plus 500K output workload, Qwen3 Coder 30B A3B Instruct is estimated at $0.21 vs $3.2 for GLM 5 Turbo, saving $3 (93.6% lower).
High-volume input processingQwen3 Coder 30B A3B InstructLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen3 Coder 30B A3B InstructLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGLM 5 TurboA 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: $0.54.
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

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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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

Compare models within provider hubs before choosing a final API vendor.

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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.

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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 Coder 30B A3B Instruct

Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the...