API cost decision in 10 seconds

GPT-5.6 Sol Pro (batch) vs GLM 5.2 (batch)

Pick GPT-5.6 Sol Pro (batch) 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 GPT-5.6 Sol Pro (batch) when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT-5.6 Sol Pro (batch) is estimated at $3.5 vs $3.6 for GLM 5.2 (batch), saving $0.1 (2.8% lower).

Cost-first pickGPT-5.6 Sol Pro (batch)
Context-first pickGPT-5.6 Sol Pro (batch)
Sample savings$0.12.8%
10x traffic gap$1

GPT-5.6 Sol Pro (batch) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors GPT-5.6 Sol Pro (batch), balanced workload favors GLM 5.2 (batch), and output-heavy chatbot favors GLM 5.2 (batch).

Workload shapeToken mixBetter pickGPT-5.6 Sol Pro (batch)GLM 5.2 (batch)
Input-heavy / RAG5M input + 500K outputGPT-5.6 Sol Pro (batch)$7.5$9.2
Balanced workload1M input + 1M outputGLM 5.2 (batch)$6$5.8
Output-heavy chatbot1M input + 5M outputGLM 5.2 (batch)$26$23.4
Cheaper input GPT-5.6 Sol Pro (batch) $1 vs $1.4 / 1M

GPT-5.6 Sol Pro (batch) is $0.4 cheaper per 1M input tokens (28.6% lower; 1.4x difference).

Cheaper output GLM 5.2 (batch) $5 vs $4.4 / 1M

GLM 5.2 (batch) is $0.6 cheaper per 1M output tokens (12% lower; 1.14x difference).

Larger context GPT-5.6 Sol Pro (batch) 1.05M vs 1.05M

GPT-5.6 Sol Pro (batch) has 1.43K more context (1x larger).

Sample workload GPT-5.6 Sol Pro (batch) $3.5 vs $3.6

GPT-5.6 Sol Pro (batch) is $0.1 cheaper on the standard workload (2.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT-5.6 Sol Pro (batch) Calculating… Estimated API cost
GLM 5.2 (batch) 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

GPT-5.6 Sol Pro (batch) has the lower input price; GLM 5.2 (batch) has the lower output price; GPT-5.6 Sol Pro (batch) offers the larger context window. For the 1M input plus 500K output sample, GPT-5.6 Sol Pro (batch) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $3.5 for GPT-5.6 Sol Pro (batch) and $3.6 for GLM 5.2 (batch).

Best Fit

Choose GPT-5.6 Sol Pro (batch) when you care most about lower input-token price, and larger context window.

Choose GLM 5.2 (batch) when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, GPT-5.6 Sol Pro (batch) is estimated at $3.5 vs $3.6 for GLM 5.2 (batch), saving $0.1 (2.8% lower).
  • GPT-5.6 Sol Pro (batch) is $0.1 cheaper on the standard workload (2.8% lower).
  • GPT-5.6 Sol Pro (batch) is $0.4 cheaper per 1M input tokens (28.6% lower; 1.4x difference).
  • GLM 5.2 (batch) is $0.6 cheaper per 1M output tokens (12% lower; 1.14x difference).
  • GPT-5.6 Sol Pro (batch) has 1.43K more context (1x larger).
Head-to-Head Specs
FeatureGPT-5.6 Sol Pro (batch)
(OpenAI)		GLM 5.2 (batch)
(Z.ai)
Input Price
prompt tokens per 1M		$1$1.4
Completion Price
per 1M tokens		$5$4.4
Sample Workload Cost
1M input + 500K output		$3.5$3.6
Context Window1.05M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGPT-5.6 Sol Pro (batch)On the standard 1M input plus 500K output workload, GPT-5.6 Sol Pro (batch) is estimated at $3.5 vs $3.6 for GLM 5.2 (batch), saving $0.1 (2.8% lower).
High-volume input processingGPT-5.6 Sol Pro (batch)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGLM 5.2 (batch)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.6 Sol Pro (batch)A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • gpt-oss-120b (free) can replace GPT-5.6 Sol Pro (batch) when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-5.6 Sol Pro (batch) when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-5.6 Sol Pro (batch) when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT-5.6 Sol Pro (batch) when lower sample workload cost matters most: $0.12.

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

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OpenAI catalog

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

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Z.ai catalog

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

Open Z.ai models
GPT-5.6 Sol Pro (batch)

GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

GLM 5.2 (batch)

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...