AI Models · Open-Source vs Paid

Mistral Nemo Open vs Claude Fable 5 Paid

Mistral Nemo vs Claude Fable 5 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 · OpenSourceAI.tech

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

Choose Mistral Nemo 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 Claude Fable 5 if you want frontier capability through a managed API with zero infrastructure to run.

Mistral Nemo vs Claude Fable 5 specs

SpecMistral NemoClaude Fable 5
MakerMistral AIAnthropic
TypeOpen-weightProprietary
Context window131K tokens1M tokens
Input price$0.02/M · free self-host$10/M
Output price$0.03/M · free self-host$50/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseApache 2.0Proprietary

Feature comparison

CapabilityMistral NemoClaude Fable 5
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Mistral Nemo vs Claude Fable 5

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

Mistral Nemo
Claude Fable 5
Intelligence index
59.9
Coding index
76.5
GPQA
92.6%
Humanity's Last Exam
53.3%
Long Context Reasoning
70%
SciCode
60.2%
IFBench
63.5%
τ²-Bench
98.5%
τ-Bench Banking
26.8%
Terminal-Bench
84.6%
Terminal-Bench Hard
62.9%
Speed
70.3 tok/s
Latency
60.4s
Intelligence per $
3

Benchmark data by Artificial Analysis.

How Mistral Nemo and Claude Fable 5 score

🏆 Best value & openness: Mistral Nemo (4.4 vs 2.9 / 5)
CriterionMistral NemoClaude Fable 5
Cost-efficiency5.02.0
Context window3.55.0
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

Mistral Nemo Open

Mistral AI · Open-weight

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...

Claude Fable 5 Paid

Anthropic · Proprietary

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...

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 3.2 24BMistral Small 4Mistral Small 3Mistral Medium 3.5Mistral Large 3 2512Ministral 3 8B 2512Devstral 2 2512Mistral Medium 3.1Ministral 3 14B 2512Ministral 3 3B 2512Mistral Medium 3Mistral LargeCodestral 2508Mistral Small 3.1 24BUncensoredMixtral 8x22B InstructVoxtral Small 24B 2507Mistral Large 2407Saba

Frequently asked questions

Is Mistral Nemo as good as Claude Fable 5?

Mistral Nemo is open-weight and competitive on many tasks, but Claude Fable 5 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 Nemo locally?

Yes. Mistral Nemo has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Claude Fable 5 is API-only and cannot be self-hosted.

How much cheaper is Mistral Nemo?

Mistral Nemo costs $0.03/M output vs $50/M for Claude Fable 5 — roughly 1667x cheaper via API, and free if you self-host.

Mistral Nemo vs Claude Fable 5 — which should I pick in 2026?

Choose Mistral Nemo 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 Claude Fable 5 if you want frontier capability through a managed API with zero infrastructure to run.

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