API cost decision in 10 seconds

GLM 5 Turbo vs Qwen2.5 7B Instruct

Pick Qwen2.5 7B 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 Qwen2.5 7B 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, Qwen2.5 7B Instruct is estimated at $0.09 vs $3.2 for GLM 5 Turbo, saving $3.11 (97.2% lower).

Cost-first pickQwen2.5 7B Instruct
Context-first pickGLM 5 Turbo
Sample savings$3.1197.2%
10x traffic gap$31.1

GLM 5 Turbo has more context, but Qwen2.5 7B Instruct saves $3.11 on the standard workload. At 10x that traffic, the same price gap is about $31.1. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Qwen2.5 7B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGLM 5 TurboQwen2.5 7B Instruct
Input-heavy / RAG5M input + 500K outputQwen2.5 7B Instruct$8$0.25
Balanced workload1M input + 1M outputQwen2.5 7B Instruct$5.2$0.14
Output-heavy chatbot1M input + 5M outputQwen2.5 7B Instruct$21.2$0.54
Cheaper input Qwen2.5 7B Instruct $1.2 vs $0.04 / 1M

Qwen2.5 7B Instruct is $1.16 cheaper per 1M input tokens (96.7% lower; 30x difference).

Cheaper output Qwen2.5 7B Instruct $4 vs $0.1 / 1M

Qwen2.5 7B Instruct is $3.9 cheaper per 1M output tokens (97.5% lower; 40x difference).

Larger context GLM 5 Turbo 202.75K vs 131.07K

GLM 5 Turbo has 71.68K more context (1.55x larger).

Sample workload Qwen2.5 7B Instruct $3.2 vs $0.09

Qwen2.5 7B Instruct is $3.11 cheaper on the standard workload (97.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GLM 5 Turbo Calculating… Estimated API cost
Qwen2.5 7B 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

Qwen2.5 7B Instruct has the lower input price; Qwen2.5 7B Instruct has the lower output price; GLM 5 Turbo offers the larger context window. For the 1M input plus 500K output sample, Qwen2.5 7B 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 $0.09 for Qwen2.5 7B Instruct.

Best Fit

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

Choose Qwen2.5 7B 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, Qwen2.5 7B Instruct is estimated at $0.09 vs $3.2 for GLM 5 Turbo, saving $3.11 (97.2% lower).
  • Qwen2.5 7B Instruct is $3.11 cheaper on the standard workload (97.2% lower).
  • Qwen2.5 7B Instruct is $1.16 cheaper per 1M input tokens (96.7% lower; 30x difference).
  • Qwen2.5 7B Instruct is $3.9 cheaper per 1M output tokens (97.5% lower; 40x difference).
  • GLM 5 Turbo has 71.68K more context (1.55x larger).
Head-to-Head Specs
FeatureGLM 5 Turbo
(Z.ai)		Qwen2.5 7B Instruct
(Qwen)
Input Price
prompt tokens per 1M		$1.2$0.04
Completion Price
per 1M tokens		$4$0.1
Sample Workload Cost
1M input + 500K output		$3.2$0.09
Context Window202.75K131.07K
Release Date
Popularity#85#134

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionQwen2.5 7B InstructOn the standard 1M input plus 500K output workload, Qwen2.5 7B Instruct is estimated at $0.09 vs $3.2 for GLM 5 Turbo, saving $3.11 (97.2% lower).
High-volume input processingQwen2.5 7B InstructLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsQwen2.5 7B 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.

Open largest context models

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...

Qwen2.5 7B Instruct

Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...