API cost decision in 10 seconds

Mistral Nemo vs GLM 4 32B

Pick Mistral Nemo when budget and context both matter.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T19:08:13Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Mistral Nemo when budget and context both matter.

On the standard 1M input plus 500K output workload, Mistral Nemo is estimated at $0.04 vs $0.15 for GLM 4 32B, saving $0.12 (76.7% lower).

Cost-first pickMistral Nemo

Context-first pickMistral Nemo

Sample savings$0.1276.7%

10x traffic gap$1.15

Mistral Nemo is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.15. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Mistral Nemo stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Mistral Nemo	GLM 4 32B
Input-heavy / RAG	5M input + 500K output	Mistral Nemo	$0.12	$0.55
Balanced workload	1M input + 1M output	Mistral Nemo	$0.05	$0.2
Output-heavy chatbot	1M input + 5M output	Mistral Nemo	$0.17	$0.6

Cheaper input Mistral Nemo $0.02 vs $0.1 / 1M

Mistral Nemo is $0.08 cheaper per 1M input tokens (80% lower; 5x difference).

Cheaper output Mistral Nemo $0.03 vs $0.1 / 1M

Mistral Nemo is $0.07 cheaper per 1M output tokens (70% lower; 3.33x difference).

Larger context Mistral Nemo 131.07K vs 128K

Mistral Nemo has 3.07K more context (1.02x larger).

Sample workload Mistral Nemo $0.04 vs $0.15

Mistral Nemo is $0.12 cheaper on the standard workload (76.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Mistral Nemo Calculating… Estimated API cost

GLM 4 32B 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 Nemo has the lower input price; Mistral Nemo has the lower output price; Mistral Nemo offers the larger context window. For the 1M input plus 500K output sample, Mistral Nemo is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.04 for Mistral Nemo and $0.15 for GLM 4 32B.

Best Fit

Choose Mistral Nemo when you care most about lower input-token price, lower output-token price, and larger context window.

Choose GLM 4 32B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes

On the standard 1M input plus 500K output workload, Mistral Nemo is estimated at $0.04 vs $0.15 for GLM 4 32B, saving $0.12 (76.7% lower).
Mistral Nemo is $0.12 cheaper on the standard workload (76.7% lower).
Mistral Nemo is $0.08 cheaper per 1M input tokens (80% lower; 5x difference).
Mistral Nemo is $0.07 cheaper per 1M output tokens (70% lower; 3.33x difference).
Mistral Nemo has 3.07K more context (1.02x larger).

Head-to-Head Specs

Feature	Mistral Nemo (Mistral)	GLM 4 32B (Z.ai)
Input Price prompt tokens per 1M	$0.02	$0.1
Completion Price per 1M tokens	$0.03	$0.1
Sample Workload Cost 1M input + 500K output	$0.04	$0.15
Context Window	131.07K	128K
Release Date	2024-07-19	2025-07-24
Popularity	#34	#147

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Mistral Nemo	On the standard 1M input plus 500K output workload, Mistral Nemo is estimated at $0.04 vs $0.15 for GLM 4 32B, saving $0.12 (76.7% lower).
High-volume input processing	Mistral Nemo	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Mistral Nemo	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Mistral Nemo	A 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 4 32B when lower sample workload cost matters most: $0.

Larger context near this budget

Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.
Lyria 3 Clip Preview offers 1.05M context with $0 sample workload cost.
Lyria 3 Pro Preview offers 1.05M context with $0 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

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Provider catalogs

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Mistral catalog

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Z.ai catalog

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Open Z.ai models

Mistral Nemo

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...

GLM 4 32B

GLM 4 32B is a cost-effective foundation language model. It can efficiently perform complex tasks and has significantly enhanced capabilities in tool use, online search, and code-related intelligent tasks. It...