API cost decision in 10 seconds

Mistral Nemo vs Nova Micro 1.0

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 $0.11 for Nova Micro 1.0, saving $0.07 (66.7% lower).

Cost-first pickMistral Nemo

Context-first pickMistral Nemo

Sample savings$0.0766.7%

10x traffic gap$0.7

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 $0.7. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

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

Workload shape	Token mix	Better pick	Mistral Nemo	Nova Micro 1.0
Input-heavy / RAG	5M input + 500K output	Mistral Nemo	$0.12	$0.25
Balanced workload	1M input + 1M output	Mistral Nemo	$0.05	$0.18
Output-heavy chatbot	1M input + 5M output	Mistral Nemo	$0.17	$0.74

Cheaper input Mistral Nemo $0.02 vs $0.035 / 1M

Mistral Nemo is $0.02 cheaper per 1M input tokens (42.9% lower; 1.75x difference).

Cheaper output Mistral Nemo $0.03 vs $0.14 / 1M

Mistral Nemo is $0.11 cheaper per 1M output tokens (78.6% lower; 4.67x 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 $0.11

Mistral Nemo is $0.07 cheaper on the standard workload (66.7% 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

Nova Micro 1.0 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 $0.11 for Nova Micro 1.0.

Best Fit

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

Choose Nova Micro 1.0 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 $0.11 for Nova Micro 1.0, saving $0.07 (66.7% lower).
Mistral Nemo is $0.07 cheaper on the standard workload (66.7% lower).
Mistral Nemo is $0.02 cheaper per 1M input tokens (42.9% lower; 1.75x difference).
Mistral Nemo is $0.11 cheaper per 1M output tokens (78.6% lower; 4.67x difference).
Mistral Nemo has 3.07K more context (1.02x larger).

Head-to-Head Specs

Feature	Mistral Nemo (Mistral)	Nova Micro 1.0 (Amazon)
Input Price prompt tokens per 1M	$0.02	$0.035
Completion Price per 1M tokens	$0.03	$0.14
Sample Workload Cost 1M input + 500K output	$0.04	$0.11
Context Window	131.07K	128K
Release Date	2024-07-19	2024-12-05
Popularity	#34	#146

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 $0.11 for Nova Micro 1.0, saving $0.07 (66.7% 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

No lower-cost same-provider swap is currently tracked for this pair.

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.

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Cheaper alternatives

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Larger context alternatives

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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.

Open Mistral models

Amazon catalog

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

Open Amazon 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,...

Nova Micro 1.0

Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length...