AI Models · Paid vs Paid

Mistral Large 2407 Paid vs GPT Audio Mini Paid

Mistral Large 2407 vs GPT Audio Mini compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Mistral Large 2407PaidMistral AI
$2 /M input
$6 /M outputManaged API (no infra to run)
TypeProprietary
Context window131K tokens
MultimodalNo
Self-hostNo
GPT Audio MiniPaidOpenAI
$0.6 /M input
$2.4 /M outputManaged API (no infra to run)
TypeProprietary
Context window128K tokens
MultimodalNo
Self-hostNo
Choose GPT Audio Mini for the lower output price ($2.4/M vs $6/M). Choose Mistral Large 2407 if you need the larger 131K context window.

Mistral Large 2407 vs GPT Audio Mini specs

SpecMistral Large 2407GPT Audio MiniWinner
MakerMistral AIOpenAI
TypeProprietaryProprietary
Context window131K tokens128K tokensMistral Large 2407
Input price$2/M$0.6/MGPT Audio Mini
Output price$6/M$2.4/MGPT Audio Mini
Vision / multimodalNoNo
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

2.5×cheaper per output token

GPT Audio Mini is ~2.5× cheaper than Mistral Large 2407 on output tokens ($2.4 vs $6 per M tokens).

Choose Mistral Large 2407 if…
  • You want frontier performance through a managed API
  • You need the longer 131K context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose GPT Audio Mini if…
  • You want frontier performance through a managed API
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityMistral Large 2407GPT Audio Mini
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Mistral Large 2407 vs GPT Audio Mini

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Mistral Large 2407
GPT Audio Mini
Intelligence index
6.8
Math index
0
GPQA
47.2%
MMLU-Pro
68.3%
Humanity's Last Exam
2.9%
Long Context Reasoning
2%
LiveCodeBench
26.7%
MATH-500
71.4%
AIME
9.3%
AIME 2025
0%
IFBench
31.6%
τ²-Bench
33%
Speed
0 tok/s
Latency
0s
Intelligence per $
2.3

Benchmark data by Artificial Analysis.

How Mistral Large 2407 and GPT Audio Mini score

🤝 Neck and neck on these criteria (2.7 vs 2.8 / 5).
CriterionMistral Large 2407GPT Audio Mini
Cost-efficiency4.04.5
Context window3.53.5
Openness1.51.5
Self-hosting1.01.0
Multimodality3.53.5

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Mistral Large 2407 Paid

Mistral AI · Proprietary

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/m

GPT Audio Mini Paid

OpenAI · Proprietary

A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million...

Frequently asked questions

Mistral Large 2407 vs GPT Audio Mini — which is cheaper?

GPT Audio Mini is cheaper on output ($2.4/M vs $6/M).

Which has the larger context window?

Mistral Large 2407 offers the larger context window (131K tokens).

Mistral Large 2407 vs GPT Audio Mini — which should I pick in 2026?

Choose GPT Audio Mini for the lower output price ($2.4/M vs $6/M). Choose Mistral Large 2407 if you need the larger 131K context window.

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