AI Models · Open-Source vs Paid

Mistral Medium 3.5 Open vs o3 Paid

Mistral Medium 3.5 vs o3 compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

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

Choose Mistral Medium 3.5 if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose o3 if you want frontier capability through a managed API with zero infrastructure to run.

Mistral Medium 3.5 vs o3 specs

SpecMistral Medium 3.5o3
MakerMistral AIOpenAI
TypeOpen-weightProprietary
Context window262K tokens200K tokens
Input price$1.5/M · free self-host$2/M
Output price$7.5/M · free self-host$8/M
Vision / multimodalYesYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseApache 2.0Proprietary

Feature comparison

CapabilityMistral Medium 3.5o3
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Mistral Medium 3.5 vs o3

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

Mistral Medium 3.5
o3
Intelligence index
29.9
30.4
Coding index
46.9
GPQA
74.8%
82.7%
Humanity's Last Exam
12.8%
20%
Long Context Reasoning
61%
69.3%
SciCode
39.6%
41%
IFBench
68.8%
71.4%
τ²-Bench
94.2%
80.7%
τ-Bench Banking
14.4%
Terminal-Bench
50.6%
Terminal-Bench Hard
33.3%
37.1%
Math index
88.3
MMLU-Pro
85.3%
LiveCodeBench
80.8%
MATH-500
99.2%
AIME
90.3%
AIME 2025
88.3%
Speed
59.8 tok/s
127.1 tok/s
Latency
0.77s
5.92s
Intelligence per $
10
8.7

Benchmark data by Artificial Analysis.

How Mistral Medium 3.5 and o3 score

🏆 Best value & openness: Mistral Medium 3.5 (4.6 vs 3.0 / 5)
CriterionMistral Medium 3.5o3
Cost-efficiency4.03.5
Context window4.04.0
Openness5.01.5
Self-hosting5.01.0
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

Mistral Medium 3.5 Open

Mistral AI · Open-weight

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...

o3 Paid

OpenAI · Proprietary

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
Mistral Small 4Devstral 2 2512Mistral Large 3 2512Mistral Medium 3.1Mistral Small 3.1 24BMistral Medium 3Ministral 3 14B 2512Mistral Small 3.2 24BMinistral 3 8B 2512Mistral LargeMistral Large 2407Mistral Small 3SabaMinistral 3 3B 2512Mixtral 8x22B InstructCodestral 2508UncensoredVoxtral Small 24B 2507Mistral Nemo
Other variants tracked
o3 Proo3 Minio3 Mini Higho3 Deep Research

Frequently asked questions

Is Mistral Medium 3.5 as good as o3?

Mistral Medium 3.5 is open-weight and competitive on many tasks, but o3 may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run Mistral Medium 3.5 locally?

Yes. Mistral Medium 3.5 has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. o3 is API-only and cannot be self-hosted.

Mistral Medium 3.5 vs o3 — which should I pick in 2026?

Choose Mistral Medium 3.5 if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose o3 if you want frontier capability through a managed API with zero infrastructure to run.

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