AI Models · Paid vs Paid

o1 Paid vs Mistral Large 2407 Paid

o1 vs Mistral Large 2407 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.

o1PaidOpenAI
$15 /M input
$60 /M outputManaged API (no infra to run)
TypeProprietary
Context window200K tokens
MultimodalYes
Self-hostNo
Mistral Large 2407PaidMistral AI
$2 /M input
$6 /M outputManaged API (no infra to run)
TypeProprietary
Context window131K tokens
MultimodalNo
Self-hostNo
Choose Mistral Large 2407 for the lower output price ($6/M vs $60/M). Choose o1 if you need the larger 200K context window.

o1 vs Mistral Large 2407 specs

Speco1Mistral Large 2407Winner
MakerOpenAIMistral AI
TypeProprietaryProprietary
Context window200K tokens131K tokenso1
Input price$15/M$2/MMistral Large 2407
Output price$60/M$6/MMistral Large 2407
Vision / multimodalYesNoo1
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

10×cheaper per output token

Mistral Large 2407 is ~10× cheaper than o1 on output tokens ($6 vs $60 per M tokens).

Choose o1 if…
  • You want frontier performance through a managed API
  • You need the longer 200K context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose Mistral Large 2407 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

Capabilityo1Mistral Large 2407
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: o1 vs Mistral Large 2407

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

Mistral Large 2407 delivers 3.8× more intelligence per dollar.
o1
Mistral Large 2407
Intelligence index
15.2
6.8
Coding index
39.7
GPQA
74.7%
47.2%
MMLU-Pro
84.1%
68.3%
Humanity's Last Exam
7%
2.9%
Long Context Reasoning
65%
2%
LiveCodeBench
67.9%
26.7%
MATH-500
97%
71.4%
AIME
72.3%
9.3%
IFBench
70.3%
31.6%
τ²-Bench
62.6%
33%
Terminal-Bench Hard
12.9%
Math index
0
AIME 2025
0%
Speed
0 tok/s
0 tok/s
Latency
0s
0s
Intelligence per $
0.6
2.3

Benchmark data by Artificial Analysis.

How o1 and Mistral Large 2407 score

🤝 Neck and neck on these criteria (2.7 vs 2.7 / 5).
Criteriono1Mistral Large 2407
Cost-efficiency2.04.0
Context window4.03.5
Openness1.51.5
Self-hosting1.01.0
Multimodality5.03.5

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

o1 Paid

OpenAI · Proprietary

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...

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

Frequently asked questions

o1 vs Mistral Large 2407 — which is cheaper?

Mistral Large 2407 is cheaper on output ($6/M vs $60/M).

Which has the larger context window?

o1 offers the larger context window (200K tokens).

o1 vs Mistral Large 2407 — which should I pick in 2026?

Choose Mistral Large 2407 for the lower output price ($6/M vs $60/M). Choose o1 if you need the larger 200K context window.

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