AI Models · Open-Source vs Paid

ARTrinity Large Thinking Open vs Mistral Medium 3 Paid

Trinity Large Thinking vs Mistral Medium 3 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.

ARTrinity Large ThinkingOpenArcee ai
$0.25 /M input
$0.8 /M outputNo per-token fees if you self-host
TypeOpen-weight
Context window262K tokens
MultimodalNo
Self-hostYes
Mistral Medium 3PaidMistral AI
$0.4 /M input
$2 /M outputManaged API (no infra to run)
TypeProprietary
Context window131K tokens
MultimodalYes
Self-hostNo
Choose Trinity Large Thinking 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 Mistral Medium 3 if you want frontier capability through a managed API with zero infrastructure to run.

Trinity Large Thinking vs Mistral Medium 3 specs

SpecTrinity Large ThinkingMistral Medium 3Winner
MakerArcee aiMistral AI
TypeOpen-weightProprietaryARTrinity Large Thinking
Context window262K tokens131K tokensARTrinity Large Thinking
Input price$0.25/M · free self-host$0.4/MARTrinity Large Thinking
Output price$0.8/M · free self-host$2/MARTrinity Large Thinking
Vision / multimodalNoYesMistral Medium 3
Tool / function callingYesYes= Tie
Self-hostableYesNo (API only)ARTrinity Large Thinking
LicenseOpen weightsProprietaryARTrinity Large Thinking

Price gap & when to choose each

2.5×cheaper per output token

Trinity Large Thinking is ~2.5× cheaper than Mistral Medium 3 on output tokens ($0.8 vs $2 per M tokens).

ARChoose Trinity Large Thinking if…
  • You want to self-host or run on your cloud
  • You need the longer 262K context window
  • You prioritize data privacy & control
  • You want the lowest operating costs
  • You are building open or reproducible AI
Choose Mistral Medium 3 if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

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

Benchmarks: Trinity Large Thinking vs Mistral Medium 3

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

Trinity Large Thinking delivers 2.3× more intelligence per dollar.
Trinity Large Thinking
Mistral Medium 3
Intelligence index
10.9
9
Coding index
25.8
GPQA
75.2%
57.8%
Humanity's Last Exam
15.8%
4.1%
Long Context Reasoning
38%
31.3%
SciCode
40.6%
IFBench
56.3%
39.3%
τ²-Bench
90.1%
24.3%
τ-Bench Banking
5.8%
Terminal-Bench
20.6%
Terminal-Bench Hard
22.7%
3.8%
Math index
30.3
MMLU-Pro
76%
LiveCodeBench
40%
MATH-500
90.7%
AIME
44%
AIME 2025
30.3%
Speed
365.5 tok/s
0 tok/s
Latency
1.05s
0s
Intelligence per $
26.5
11.3

Benchmark data by Artificial Analysis.

How Trinity Large Thinking and Mistral Medium 3 score

🏆 Best value & openness: Trinity Large Thinking (4.5 vs 3.1 / 5)
CriterionTrinity Large ThinkingMistral Medium 3
Cost-efficiency5.04.5
Context window4.03.5
Openness5.01.5
Self-hosting5.01.0
Multimodality3.55.0

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

Trinity Large Thinking Open

Arcee ai · Open-weight

Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7...

Mistral Medium 3 Paid

Mistral AI · Proprietary

Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lowe

Frequently asked questions

Is Trinity Large Thinking as good as Mistral Medium 3?

Trinity Large Thinking is open-weight and competitive on many tasks, but Mistral Medium 3 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 Trinity Large Thinking locally?

Yes. Trinity Large Thinking has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Mistral Medium 3 is API-only and cannot be self-hosted.

How much cheaper is Trinity Large Thinking?

Trinity Large Thinking costs $0.8/M output vs $2/M for Mistral Medium 3 — roughly 3x cheaper via API, and free if you self-host.

Trinity Large Thinking vs Mistral Medium 3 — which should I pick in 2026?

Choose Trinity Large Thinking 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 Mistral Medium 3 if you want frontier capability through a managed API with zero infrastructure to run.

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