API cost decision in 10 seconds

GPT-4.1 Mini vs Mistral Large 3 2512

Pick GPT-4.1 Mini when budget and context both matter.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T20:08:05Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick GPT-4.1 Mini when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT-4.1 Mini is estimated at $1.2 vs $1.25 for Mistral Large 3 2512, saving $0.05 (4% lower).

Cost-first pickGPT-4.1 Mini

Context-first pickGPT-4.1 Mini

Sample savings$0.054%

10x traffic gap$0.5

GPT-4.1 Mini 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-4.1 Mini, balanced workload favors Tie, and output-heavy chatbot favors Mistral Large 3 2512.

Workload shape	Token mix	Better pick	GPT-4.1 Mini	Mistral Large 3 2512
Input-heavy / RAG	5M input + 500K output	GPT-4.1 Mini	$2.8	$3.25
Balanced workload	1M input + 1M output	Tie	$2	$2
Output-heavy chatbot	1M input + 5M output	Mistral Large 3 2512	$8.4	$8

Cheaper input GPT-4.1 Mini $0.4 vs $0.5 / 1M

GPT-4.1 Mini is $0.1 cheaper per 1M input tokens (20% lower; 1.25x difference).

Cheaper output Mistral Large 3 2512 $1.6 vs $1.5 / 1M

Mistral Large 3 2512 is $0.1 cheaper per 1M output tokens (6.3% lower; 1.07x difference).

Larger context GPT-4.1 Mini 1.05M vs 262.14K

GPT-4.1 Mini has 785.43K more context (4x larger).

Sample workload GPT-4.1 Mini $1.2 vs $1.25

GPT-4.1 Mini is $0.05 cheaper on the standard workload (4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GPT-4.1 Mini Calculating… Estimated API cost

Mistral Large 3 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-4.1 Mini has the lower input price; Mistral Large 3 2512 has the lower output price; GPT-4.1 Mini offers the larger context window. For the 1M input plus 500K output sample, GPT-4.1 Mini is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.2 for GPT-4.1 Mini and $1.25 for Mistral Large 3 2512.

Best Fit

Choose GPT-4.1 Mini when you care most about lower input-token price, and larger context window.

Choose Mistral Large 3 2512 when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, GPT-4.1 Mini is estimated at $1.2 vs $1.25 for Mistral Large 3 2512, saving $0.05 (4% lower).
GPT-4.1 Mini is $0.05 cheaper on the standard workload (4% lower).
GPT-4.1 Mini is $0.1 cheaper per 1M input tokens (20% lower; 1.25x difference).
Mistral Large 3 2512 is $0.1 cheaper per 1M output tokens (6.3% lower; 1.07x difference).
GPT-4.1 Mini has 785.43K more context (4x larger).

Head-to-Head Specs

Feature	GPT-4.1 Mini (OpenAI)	Mistral Large 3 2512 (Mistral)
Input Price prompt tokens per 1M	$0.4	$0.5
Completion Price per 1M tokens	$1.6	$1.5
Sample Workload Cost 1M input + 500K output	$1.2	$1.25
Context Window	1.05M	262.14K
Release Date	2025-04-14	2025-12-01
Popularity	#51	#114

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	GPT-4.1 Mini	On the standard 1M input plus 500K output workload, GPT-4.1 Mini is estimated at $1.2 vs $1.25 for Mistral Large 3 2512, saving $0.05 (4% lower).
High-volume input processing	GPT-4.1 Mini	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Mistral Large 3 2512	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	GPT-4.1 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-4.1 Mini when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-4.1 Mini when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT-4.1 Mini when lower sample workload cost matters most: $0.1.
gpt-oss-120b can replace GPT-4.1 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.

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

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Larger context alternatives

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Provider catalogs

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OpenAI catalog

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Mistral catalog

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

Open Mistral models

GPT-4.1 Mini

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...

Mistral Large 3 2512

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.