AI Models · Open-Source vs Paid

Granite 4.1 8B Open vs Mistral Large Paid

Granite 4.1 8B 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.

Choose Granite 4.1 8B 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.

Granite 4.1 8B vs Mistral Large specs

SpecGranite 4.1 8BMistral Large
MakerIBMMistral AI
TypeOpen-weightProprietary
Context window131K tokens128K tokens
Input price$0.05/M · free self-host$2/M
Output price$0.1/M · free self-host$6/M
Vision / multimodalNoNo
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseApache 2.0Proprietary

Feature comparison

CapabilityGranite 4.1 8BMistral Large
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Granite 4.1 8B vs Mistral Large

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

Granite 4.1 8B delivers 44× more intelligence per dollar.
Granite 4.1 8B
Mistral Large
Intelligence index
6.7
7.3
Coding index
9.5
GPQA
43.3%
47.2%
Humanity's Last Exam
3.8%
3.2%
Long Context Reasoning
12%
1.7%
SciCode
21.8%
27.1%
IFBench
38.6%
31.6%
τ²-Bench
27.8%
33%
τ-Bench Banking
3.1%
Terminal-Bench
3.4%
Terminal-Bench Hard
0%
Math index
0
MMLU-Pro
68.3%
LiveCodeBench
26.7%
MATH-500
71.4%
AIME
9.3%
AIME 2025
0%
Speed
104.8 tok/s
0 tok/s
Latency
0.44s
0s
Intelligence per $
106.3
2.4

Benchmark data by Artificial Analysis.

How Granite 4.1 8B and Mistral Large score

🏆 Best value & openness: Granite 4.1 8B (4.4 vs 2.7 / 5)
CriterionGranite 4.1 8BMistral Large
Cost-efficiency5.04.0
Context window3.53.5
Openness5.01.5
Self-hosting5.01.0
Multimodality3.53.5

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

Granite 4.1 8B Open

IBM · Open-weight

Granite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks...

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
Granite 4.0 Micro

Frequently asked questions

Is Granite 4.1 8B as good as Mistral Large?

Granite 4.1 8B 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 Granite 4.1 8B locally?

Yes. Granite 4.1 8B 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 Granite 4.1 8B?

Granite 4.1 8B costs $0.1/M output vs $6/M for Mistral Large — roughly 60x cheaper via API, and free if you self-host.

Granite 4.1 8B vs Mistral Large — which should I pick in 2026?

Choose Granite 4.1 8B 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.

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