AI Models · Paid vs Paid

o1 Paid vs Mistral Large 3 2512 (batch) Paid

o1 vs Mistral Large 3 2512 (batch) 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 3 2512 (batch)PaidMistral AI
$0.25 /M input
$0.75 /M outputManaged API (no infra to run)
TypeProprietary
Context window262K tokens
MultimodalYes
Self-hostNo
Choose Mistral Large 3 2512 (batch) for the lower output price ($0.75/M vs $60/M). It also gives you the larger 262K context window.

o1 vs Mistral Large 3 2512 (batch) specs

Speco1Mistral Large 3 2512 (batch)Winner
MakerOpenAIMistral AI
TypeProprietaryProprietary
Context window200K tokens262K tokensMistral Large 3 2512 (batch)
Input price$15/M$0.25/MMistral Large 3 2512 (batch)
Output price$60/M$0.75/MMistral Large 3 2512 (batch)
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

80×cheaper per output token

Mistral Large 3 2512 (batch) is ~80× cheaper than o1 on output tokens ($0.75 vs $60 per M tokens).

Choose o1 if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose Mistral Large 3 2512 (batch) if…
  • You want frontier performance through a managed API
  • You need the longer 262K context window
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

Capabilityo1Mistral Large 3 2512 (batch)
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: o1 vs Mistral Large 3 2512 (batch)

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

Mistral Large 3 2512 (batch) delivers 22× more intelligence per dollar.
o1
Mistral Large 3 2512 (batch)
Intelligence index
15.2
9.7
Coding index
39.7
20.1
GPQA
74.7%
68%
MMLU-Pro
84.1%
80.7%
Humanity's Last Exam
7%
4.2%
Long Context Reasoning
65%
36%
LiveCodeBench
67.9%
46.5%
MATH-500
97%
AIME
72.3%
IFBench
70.3%
36.2%
τ²-Bench
62.6%
24.6%
Terminal-Bench Hard
12.9%
15.9%
Math index
38
SciCode
36.6%
AIME 2025
38%
τ-Bench Banking
5.8%
Terminal-Bench
12%
Speed
0 tok/s
81.3 tok/s
Latency
0s
0.68s
Intelligence per $
0.6
12.9

Benchmark data by Artificial Analysis.

How o1 and Mistral Large 3 2512 (batch) score

🏆 Best value & openness: Mistral Large 3 2512 (batch) (3.3 vs 2.7 / 5)
Criteriono1Mistral Large 3 2512 (batch)
Cost-efficiency2.05.0
Context window4.04.0
Openness1.51.5
Self-hosting1.01.0
Multimodality5.05.0

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 3 2512 (batch) Paid

Mistral AI · Proprietary

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.

Frequently asked questions

o1 vs Mistral Large 3 2512 (batch) — which is cheaper?

Mistral Large 3 2512 (batch) is cheaper on output ($0.75/M vs $60/M).

Which has the larger context window?

Mistral Large 3 2512 (batch) offers the larger context window (262K tokens).

o1 vs Mistral Large 3 2512 (batch) — which should I pick in 2026?

Choose Mistral Large 3 2512 (batch) for the lower output price ($0.75/M vs $60/M). It also gives you the larger 262K context window.

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