API cost decision in 10 seconds

GPT-5 Nano vs Mistral Small 3

Pick Mistral Small 3 for lower cost; pick GPT-5 Nano 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 Small 3 for lower cost; pick GPT-5 Nano only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Mistral Small 3 is estimated at $0.09 vs $0.25 for GPT-5 Nano, saving $0.16 (64% lower).

Cost-first pickMistral Small 3

Context-first pickGPT-5 Nano

Sample savings$0.1664%

10x traffic gap$1.6

GPT-5 Nano has more context, but Mistral Small 3 saves $0.16 on the standard workload. At 10x that traffic, the same price gap is about $1.6. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

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

Workload shape	Token mix	Better pick	GPT-5 Nano	Mistral Small 3
Input-heavy / RAG	5M input + 500K output	Mistral Small 3	$0.45	$0.29
Balanced workload	1M input + 1M output	Mistral Small 3	$0.45	$0.13
Output-heavy chatbot	1M input + 5M output	Mistral Small 3	$2.05	$0.45

Cheaper input Tie $0.05 vs $0.05 / 1M

Both models report the same input price at $0.05 per 1M tokens.

Cheaper output Mistral Small 3 $0.4 vs $0.08 / 1M

Mistral Small 3 is $0.32 cheaper per 1M output tokens (80% lower; 5x difference).

Larger context GPT-5 Nano 400K vs 32.77K

GPT-5 Nano has 367.23K more context (12.2x larger).

Sample workload Mistral Small 3 $0.25 vs $0.09

Mistral Small 3 is $0.16 cheaper on the standard workload (64% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GPT-5 Nano Calculating… Estimated API cost

Mistral Small 3 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

both models tie on input price; Mistral Small 3 has the lower output price; GPT-5 Nano offers the larger context window. For the 1M input plus 500K output sample, Mistral Small 3 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.25 for GPT-5 Nano and $0.09 for Mistral Small 3.

Best Fit

Choose GPT-5 Nano when you care most about larger context window.

Choose Mistral Small 3 when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Mistral Small 3 is estimated at $0.09 vs $0.25 for GPT-5 Nano, saving $0.16 (64% lower).
Mistral Small 3 is $0.16 cheaper on the standard workload (64% lower).
Both models report the same input price at $0.05 per 1M tokens.
Mistral Small 3 is $0.32 cheaper per 1M output tokens (80% lower; 5x difference).
GPT-5 Nano has 367.23K more context (12.2x larger).

Head-to-Head Specs

Feature	GPT-5 Nano (OpenAI)	Mistral Small 3 (Mistral)
Input Price prompt tokens per 1M	$0.05	$0.05
Completion Price per 1M tokens	$0.4	$0.08
Sample Workload Cost 1M input + 500K output	$0.25	$0.09
Context Window	400K	32.77K
Release Date	2025-08-07	2025-01-30
Popularity	#68	#135

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Mistral Small 3	On the standard 1M input plus 500K output workload, Mistral Small 3 is estimated at $0.09 vs $0.25 for GPT-5 Nano, saving $0.16 (64% lower).
High-volume input processing	Tie	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Mistral Small 3	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	GPT-5 Nano	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 Nano when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-5 Nano when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT-5 Nano when lower sample workload cost matters most: $0.1.
gpt-oss-120b can replace GPT-5 Nano 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.
Gemini 2.5 Flash Lite offers 1.05M context with $0.3 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

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.

Open provider hubs

OpenAI catalog

Review all tracked OpenAI models before deciding whether this matchup is the right shortlist.

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Mistral catalog

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

Open Mistral models

GPT-5 Nano

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

Mistral Small 3

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...