API cost decision in 10 seconds

Mistral Nemo vs GPT-5.1-Codex-Mini

Pick Mistral Nemo for lower cost; pick GPT-5.1-Codex-Mini only if the larger context window matters more.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T18:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Mistral Nemo for lower cost; pick GPT-5.1-Codex-Mini only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Mistral Nemo is estimated at $0.04 vs $1.25 for GPT-5.1-Codex-Mini, saving $1.22 (97.2% lower).

Cost-first pickMistral Nemo

Context-first pickGPT-5.1-Codex-Mini

Sample savings$1.2297.2%

10x traffic gap$12.15

GPT-5.1-Codex-Mini has more context, but Mistral Nemo saves $1.22 on the standard workload. At 10x that traffic, the same price gap is about $12.15. 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	GPT-5.1-Codex-Mini
Input-heavy / RAG	5M input + 500K output	Mistral Nemo	$0.12	$2.25
Balanced workload	1M input + 1M output	Mistral Nemo	$0.05	$2.25
Output-heavy chatbot	1M input + 5M output	Mistral Nemo	$0.17	$10.25

Cheaper input Mistral Nemo $0.02 vs $0.25 / 1M

Mistral Nemo is $0.23 cheaper per 1M input tokens (92% lower; 12.5x difference).

Cheaper output Mistral Nemo $0.03 vs $2 / 1M

Mistral Nemo is $1.97 cheaper per 1M output tokens (98.5% lower; 66.7x difference).

Larger context GPT-5.1-Codex-Mini 131.07K vs 400K

GPT-5.1-Codex-Mini has 268.93K more context (3.05x larger).

Sample workload Mistral Nemo $0.04 vs $1.25

Mistral Nemo is $1.22 cheaper on the standard workload (97.2% 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

GPT-5.1-Codex-Mini 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; GPT-5.1-Codex-Mini 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 $1.25 for GPT-5.1-Codex-Mini.

Best Fit

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

Choose GPT-5.1-Codex-Mini when you care most about larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Mistral Nemo is estimated at $0.04 vs $1.25 for GPT-5.1-Codex-Mini, saving $1.22 (97.2% lower).
Mistral Nemo is $1.22 cheaper on the standard workload (97.2% lower).
Mistral Nemo is $0.23 cheaper per 1M input tokens (92% lower; 12.5x difference).
Mistral Nemo is $1.97 cheaper per 1M output tokens (98.5% lower; 66.7x difference).
GPT-5.1-Codex-Mini has 268.93K more context (3.05x larger).

Head-to-Head Specs

Feature	Mistral Nemo (Mistral)	GPT-5.1-Codex-Mini (OpenAI)
Input Price prompt tokens per 1M	$0.02	$0.25
Completion Price per 1M tokens	$0.03	$2
Sample Workload Cost 1M input + 500K output	$0.04	$1.25
Context Window	131.07K	400K
Release Date	2024-07-19	2025-11-13
Popularity	#34	#141

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 $1.25 for GPT-5.1-Codex-Mini, saving $1.22 (97.2% 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	GPT-5.1-Codex-Mini	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-5.1-Codex-Mini when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-5.1-Codex-Mini when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT-5.1-Codex-Mini when lower sample workload cost matters most: $0.1.
gpt-oss-120b can replace GPT-5.1-Codex-Mini when lower sample workload cost matters most: $0.13.

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.
DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.

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Provider catalogs

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Mistral catalog

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OpenAI catalog

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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,...

GPT-5.1-Codex-Mini

GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex