API cost decision in 10 seconds

Devstral 2 2512 vs GLM 4.6

Pick GLM 4.6 for lower cost; pick Devstral 2 2512 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 GLM 4.6 for lower cost; pick Devstral 2 2512 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, GLM 4.6 is estimated at $1.3 vs $1.4 for Devstral 2 2512, saving $0.1 (7.1% lower).

Cost-first pickGLM 4.6
Context-first pickDevstral 2 2512
Sample savings$0.17.1%
10x traffic gap$1

Devstral 2 2512 has more context, but GLM 4.6 saves $0.1 on the standard workload. 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 Devstral 2 2512, balanced workload favors GLM 4.6, and output-heavy chatbot favors GLM 4.6.

Workload shapeToken mixBetter pickDevstral 2 2512GLM 4.6
Input-heavy / RAG5M input + 500K outputDevstral 2 2512$3$3.02
Balanced workload1M input + 1M outputGLM 4.6$2.4$2.17
Output-heavy chatbot1M input + 5M outputGLM 4.6$10.4$9.13
Cheaper input Devstral 2 2512 $0.4 vs $0.43 / 1M

Devstral 2 2512 is $0.03 cheaper per 1M input tokens (7% lower; 1.07x difference).

Cheaper output GLM 4.6 $2 vs $1.74 / 1M

GLM 4.6 is $0.26 cheaper per 1M output tokens (13% lower; 1.15x difference).

Larger context Devstral 2 2512 262.14K vs 202.75K

Devstral 2 2512 has 59.39K more context (1.29x larger).

Sample workload GLM 4.6 $1.4 vs $1.3

GLM 4.6 is $0.1 cheaper on the standard workload (7.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Devstral 2 2512 Calculating… Estimated API cost
GLM 4.6 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

Devstral 2 2512 has the lower input price; GLM 4.6 has the lower output price; Devstral 2 2512 offers the larger context window. For the 1M input plus 500K output sample, GLM 4.6 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.4 for Devstral 2 2512 and $1.3 for GLM 4.6.

Best Fit

Choose Devstral 2 2512 when you care most about lower input-token price, and larger context window.

Choose GLM 4.6 when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, GLM 4.6 is estimated at $1.3 vs $1.4 for Devstral 2 2512, saving $0.1 (7.1% lower).
  • GLM 4.6 is $0.1 cheaper on the standard workload (7.1% lower).
  • Devstral 2 2512 is $0.03 cheaper per 1M input tokens (7% lower; 1.07x difference).
  • GLM 4.6 is $0.26 cheaper per 1M output tokens (13% lower; 1.15x difference).
  • Devstral 2 2512 has 59.39K more context (1.29x larger).
Head-to-Head Specs
FeatureDevstral 2 2512
(Mistral)		GLM 4.6
(Z.ai)
Input Price
prompt tokens per 1M		$0.4$0.43
Completion Price
per 1M tokens		$2$1.74
Sample Workload Cost
1M input + 500K output		$1.4$1.3
Context Window262.14K202.75K
Release Date
Popularity#98#122

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGLM 4.6On the standard 1M input plus 500K output workload, GLM 4.6 is estimated at $1.3 vs $1.4 for Devstral 2 2512, saving $0.1 (7.1% lower).
High-volume input processingDevstral 2 2512Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGLM 4.6Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDevstral 2 2512A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Mistral Nemo can replace Devstral 2 2512 when lower sample workload cost matters most: $0.04.
  • Mistral Small 3 can replace Devstral 2 2512 when lower sample workload cost matters most: $0.09.
  • Ministral 3 3B 2512 can replace Devstral 2 2512 when lower sample workload cost matters most: $0.15.
  • Mistral Small 3.2 24B can replace Devstral 2 2512 when lower sample workload cost matters most: $0.17.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 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.
  • MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.

Cheaper alternatives

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

Open cheapest models

Larger context alternatives

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

Open largest context models

Provider catalogs

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

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Mistral catalog

Review all tracked Mistral 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
Devstral 2 2512

Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. Devstral 2 supports exploring...

GLM 4.6

Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...