API cost decision in 10 seconds

GLM 5.1 vs Mistral Large 3 2512

Pick Mistral Large 3 2512 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 Mistral Large 3 2512 when budget and context both matter.

On the standard 1M input plus 500K output workload, Mistral Large 3 2512 is estimated at $1.25 vs $2.52 for GLM 5.1, saving $1.27 (50.4% lower).

Cost-first pickMistral Large 3 2512
Context-first pickMistral Large 3 2512
Sample savings$1.2750.4%
10x traffic gap$12.7

Mistral Large 3 2512 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $12.7. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Mistral Large 3 2512 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGLM 5.1Mistral Large 3 2512
Input-heavy / RAG5M input + 500K outputMistral Large 3 2512$6.44$3.25
Balanced workload1M input + 1M outputMistral Large 3 2512$4.06$2
Output-heavy chatbot1M input + 5M outputMistral Large 3 2512$16.38$8
Cheaper input Mistral Large 3 2512 $0.98 vs $0.5 / 1M

Mistral Large 3 2512 is $0.48 cheaper per 1M input tokens (49% lower; 1.96x difference).

Cheaper output Mistral Large 3 2512 $3.08 vs $1.5 / 1M

Mistral Large 3 2512 is $1.58 cheaper per 1M output tokens (51.3% lower; 2.05x difference).

Larger context Mistral Large 3 2512 202.75K vs 262.14K

Mistral Large 3 2512 has 59.39K more context (1.29x larger).

Sample workload Mistral Large 3 2512 $2.52 vs $1.25

Mistral Large 3 2512 is $1.27 cheaper on the standard workload (50.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GLM 5.1 Calculating… Estimated API cost
Mistral Large 3 2512 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

Mistral Large 3 2512 has the lower input price; Mistral Large 3 2512 has the lower output price; Mistral Large 3 2512 offers the larger context window. For the 1M input plus 500K output sample, Mistral Large 3 2512 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.52 for GLM 5.1 and $1.25 for Mistral Large 3 2512.

Best Fit

Choose GLM 5.1 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Mistral Large 3 2512 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, Mistral Large 3 2512 is estimated at $1.25 vs $2.52 for GLM 5.1, saving $1.27 (50.4% lower).
  • Mistral Large 3 2512 is $1.27 cheaper on the standard workload (50.4% lower).
  • Mistral Large 3 2512 is $0.48 cheaper per 1M input tokens (49% lower; 1.96x difference).
  • Mistral Large 3 2512 is $1.58 cheaper per 1M output tokens (51.3% lower; 2.05x difference).
  • Mistral Large 3 2512 has 59.39K more context (1.29x larger).
Head-to-Head Specs
FeatureGLM 5.1
(Z.ai)
Mistral Large 3 2512
(Mistral)
Input Price
prompt tokens per 1M
$0.98$0.5
Completion Price
per 1M tokens
$3.08$1.5
Sample Workload Cost
1M input + 500K output
$2.52$1.25
Context Window202.75K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMistral Large 3 2512On the standard 1M input plus 500K output workload, Mistral Large 3 2512 is estimated at $1.25 vs $2.52 for GLM 5.1, saving $1.27 (50.4% lower).
High-volume input processingMistral Large 3 2512Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMistral Large 3 2512Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMistral Large 3 2512A 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 5.1 when lower sample workload cost matters most: $0.
  • GLM 4 32B can replace GLM 5.1 when lower sample workload cost matters most: $0.15.
  • GLM 4.7 Flash can replace GLM 5.1 when lower sample workload cost matters most: $0.26.
  • GLM 4.5 Air can replace GLM 5.1 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

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

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Mistral catalog

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

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GLM 5.1

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...

Mistral Large 3 2512

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.