API cost decision in 10 seconds

GPT-5 Nano vs Ministral 3 14B 2512

Pick GPT-5 Nano 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 GPT-5 Nano when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT-5 Nano is estimated at $0.25 vs $0.3 for Ministral 3 14B 2512, saving $0.05 (16.7% lower).

Cost-first pickGPT-5 Nano

Context-first pickGPT-5 Nano

Sample savings$0.0516.7%

10x traffic gap$0.5

GPT-5 Nano is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors GPT-5 Nano, balanced workload favors Ministral 3 14B 2512, and output-heavy chatbot favors Ministral 3 14B 2512.

Workload shape	Token mix	Better pick	GPT-5 Nano	Ministral 3 14B 2512
Input-heavy / RAG	5M input + 500K output	GPT-5 Nano	$0.45	$1.1
Balanced workload	1M input + 1M output	Ministral 3 14B 2512	$0.45	$0.4
Output-heavy chatbot	1M input + 5M output	Ministral 3 14B 2512	$2.05	$1.2

Cheaper input GPT-5 Nano $0.05 vs $0.2 / 1M

GPT-5 Nano is $0.15 cheaper per 1M input tokens (75% lower; 4x difference).

Cheaper output Ministral 3 14B 2512 $0.4 vs $0.2 / 1M

Ministral 3 14B 2512 is $0.2 cheaper per 1M output tokens (50% lower; 2x difference).

Larger context GPT-5 Nano 400K vs 262.14K

GPT-5 Nano has 137.86K more context (1.53x larger).

Sample workload GPT-5 Nano $0.25 vs $0.3

GPT-5 Nano is $0.05 cheaper on the standard workload (16.7% 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

Ministral 3 14B 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

GPT-5 Nano has the lower input price; Ministral 3 14B 2512 has the lower output price; GPT-5 Nano offers the larger context window. For the 1M input plus 500K output sample, GPT-5 Nano 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 $0.3 for Ministral 3 14B 2512.

Best Fit

Choose GPT-5 Nano when you care most about lower input-token price, and larger context window.

Choose Ministral 3 14B 2512 when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, GPT-5 Nano is estimated at $0.25 vs $0.3 for Ministral 3 14B 2512, saving $0.05 (16.7% lower).
GPT-5 Nano is $0.05 cheaper on the standard workload (16.7% lower).
GPT-5 Nano is $0.15 cheaper per 1M input tokens (75% lower; 4x difference).
Ministral 3 14B 2512 is $0.2 cheaper per 1M output tokens (50% lower; 2x difference).
GPT-5 Nano has 137.86K more context (1.53x larger).

Head-to-Head Specs

Feature	GPT-5 Nano (OpenAI)	Ministral 3 14B 2512 (Mistral)
Input Price prompt tokens per 1M	$0.05	$0.2
Completion Price per 1M tokens	$0.4	$0.2
Sample Workload Cost 1M input + 500K output	$0.25	$0.3
Context Window	400K	262.14K
Release Date	2025-08-07	2025-12-02
Popularity	#68	#143

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	GPT-5 Nano	On the standard 1M input plus 500K output workload, GPT-5 Nano is estimated at $0.25 vs $0.3 for Ministral 3 14B 2512, saving $0.05 (16.7% lower).
High-volume input processing	GPT-5 Nano	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Ministral 3 14B 2512	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.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

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.

Open OpenAI models

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...

Ministral 3 14B 2512

The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...