AI Models · Paid vs Paid

o1 Paid vs Mistral Medium 3.1 (batch) Paid

o1 vs Mistral Medium 3.1 (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 Medium 3.1 (batch)PaidMistral AI
$0.2 /M input
$1 /M outputManaged API (no infra to run)
TypeProprietary
Context window131K tokens
MultimodalYes
Self-hostNo
Choose Mistral Medium 3.1 (batch) for the lower output price ($1/M vs $60/M). Choose o1 if you need the larger 200K context window.

o1 vs Mistral Medium 3.1 (batch) specs

Speco1Mistral Medium 3.1 (batch)Winner
MakerOpenAIMistral AI
TypeProprietaryProprietary
Context window200K tokens131K tokenso1
Input price$15/M$0.2/MMistral Medium 3.1 (batch)
Output price$60/M$1/MMistral Medium 3.1 (batch)
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

60×cheaper per output token

Mistral Medium 3.1 (batch) is ~60× cheaper than o1 on output tokens ($1 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 Medium 3.1 (batch) 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 Medium 3.1 (batch)
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: o1 vs Mistral Medium 3.1 (batch)

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

Mistral Medium 3.1 (batch) delivers 21× more intelligence per dollar.
o1
Mistral Medium 3.1 (batch)
Intelligence index
15.2
9.9
Coding index
39.7
20.5
GPQA
74.7%
58.8%
MMLU-Pro
84.1%
68.3%
Humanity's Last Exam
7%
4.7%
Long Context Reasoning
65%
LiveCodeBench
67.9%
40.6%
MATH-500
97%
AIME
72.3%
IFBench
70.3%
39.8%
τ²-Bench
62.6%
40.6%
Terminal-Bench Hard
12.9%
10.6%
Math index
38.3
SciCode
32.4%
AIME 2025
38.3%
τ-Bench Banking
8.2%
Terminal-Bench
13.9%
Speed
0 tok/s
0 tok/s
Latency
0s
0s
Intelligence per $
0.6
12.4

Benchmark data by Artificial Analysis.

How o1 and Mistral Medium 3.1 (batch) score

🏆 Best value & openness: Mistral Medium 3.1 (batch) (3.1 vs 2.7 / 5)
Criteriono1Mistral Medium 3.1 (batch)
Cost-efficiency2.04.5
Context window4.03.5
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 Medium 3.1 (batch) Paid

Mistral AI · Proprietary

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

Frequently asked questions

o1 vs Mistral Medium 3.1 (batch) — which is cheaper?

Mistral Medium 3.1 (batch) is cheaper on output ($1/M vs $60/M).

Which has the larger context window?

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

o1 vs Mistral Medium 3.1 (batch) — which should I pick in 2026?

Choose Mistral Medium 3.1 (batch) for the lower output price ($1/M vs $60/M). Choose o1 if you need the larger 200K context window.

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