AI Models · Open-Source vs Paid

THInkling Small Open vs Mistral Large Paid

Inkling Small vs Mistral Large 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.

THInkling SmallOpenThinkingmachines
$0.45 /M input
$1.2 /M outputNo per-token fees if you self-host
TypeOpen-weight
Context window524K tokens
MultimodalYes
Self-hostYes
Mistral LargePaidMistral AI
$2 /M input
$6 /M outputManaged API (no infra to run)
TypeProprietary
Context window128K tokens
MultimodalNo
Self-hostNo
Choose Inkling Small 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 Large if you want frontier capability through a managed API with zero infrastructure to run.

Inkling Small vs Mistral Large specs

SpecInkling SmallMistral LargeWinner
MakerThinkingmachinesMistral AI–
TypeOpen-weightProprietaryTHInkling Small
Context window524K tokens128K tokensTHInkling Small
Input price$0.45/M · free self-host$2/MTHInkling Small
Output price$1.2/M · free self-host$6/MTHInkling Small
Vision / multimodalYesNoTHInkling Small
Tool / function callingYesYes= Tie
Self-hostableYesNo (API only)THInkling Small
LicenseOpen weightsProprietaryTHInkling Small

Price gap & when to choose each

5.0×cheaper per output token

Inkling Small is ~5.0× cheaper than Mistral Large on output tokens ($1.2 vs $6 per M tokens).

THChoose Inkling Small if…
  • You want to self-host or run on your cloud
  • You need the longer 524K context window
  • You prioritize data privacy & control
  • You want the lowest operating costs
  • You are building open or reproducible AI
Choose Mistral Large if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityInkling SmallMistral Large
Open weights (downloadable)✓✗
Self-hostable✓✗
Runs fully offline✓✗
Vision / multimodal✓✗
Tool / function calling✓✓
1M+ context window✗✗

Benchmarks: Inkling Small vs Mistral Large

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

Inkling Small delivers 21× more intelligence per dollar.
Inkling Small
Mistral Large
Intelligence index
25.7
6.8
Coding index
52.9
–
GPQA
89.5%
47.2%
Humanity's Last Exam
33.3%
2.9%
Long Context Reasoning
75.7%
2%
SciCode
49.7%
–
τ-Bench Banking
18.8%
–
Terminal-Bench
55.1%
–
Math index
–
0
MMLU-Pro
–
68.3%
LiveCodeBench
–
26.7%
MATH-500
–
71.4%
AIME
–
9.3%
AIME 2025
–
0%
IFBench
–
31.6%
τ²-Bench
–
33%
Speed
237.7 tok/s
0 tok/s
Latency
1.94s
0s
Intelligence per $
49
2.3

Benchmark data by Artificial Analysis.

How Inkling Small and Mistral Large score

🏆 Best value & openness: Inkling Small (4.8 vs 2.7 / 5)
CriterionInkling SmallMistral Large
Cost-efficiency4.54.0
Context window4.53.5
Openness5.01.5
Self-hosting5.01.0
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

Inkling Small Open

Thinkingmachines · Open-weight

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

Mistral Large 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

Other models in these families

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

Other variants tracked
Inkling Small (free)InklingInkling (free)

Frequently asked questions

Is Inkling Small as good as Mistral Large?

Inkling Small is open-weight and competitive on many tasks, but Mistral Large 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 Inkling Small locally?

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

How much cheaper is Inkling Small?

Inkling Small costs $1.2/M output vs $6/M for Mistral Large — roughly 5x cheaper via API, and free if you self-host.

Inkling Small vs Mistral Large — which should I pick in 2026?

Choose Inkling Small 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 Large if you want frontier capability through a managed API with zero infrastructure to run.

People also compare

Explore more open-source AI

Browse the full open-source model leaderboard, thousands of tools and live benchmarks — all in one place.

Open the leaderboard →