AI Models · Paid vs Paid

Claude Fable 5 Paid vs Mistral Medium 3.1 Paid

Claude Fable 5 vs Mistral Medium 3.1 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

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

Claude Fable 5PaidAnthropic
$10 /M input
$50 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
Mistral Medium 3.1PaidMistral AI
$0.4 /M input
$2 /M outputManaged API (no infra to run)
TypeProprietary
Context window131K tokens
MultimodalYes
Self-hostNo
Choose Mistral Medium 3.1 for the lower output price ($2/M vs $50/M). Choose Claude Fable 5 if you need the larger 1M context window.

Claude Fable 5 vs Mistral Medium 3.1 specs

SpecClaude Fable 5Mistral Medium 3.1Winner
MakerAnthropicMistral AI
TypeProprietaryProprietary
Context window1M tokens131K tokensClaude Fable 5
Input price$10/M$0.4/MMistral Medium 3.1
Output price$50/M$2/MMistral Medium 3.1
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

25×cheaper per output token

Mistral Medium 3.1 is ~25× cheaper than Claude Fable 5 on output tokens ($2 vs $50 per M tokens).

Choose Claude Fable 5 if…
  • You want frontier performance through a managed API
  • You need the longer 1M context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose Mistral Medium 3.1 if…
  • You want frontier performance through a managed API
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityClaude Fable 5Mistral Medium 3.1
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Claude Fable 5 vs Mistral Medium 3.1

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

Mistral Medium 3.1 delivers more intelligence per dollar.
Claude Fable 5
Mistral Medium 3.1
Intelligence index
49.7
9.9
Coding index
76.5
20.5
GPQA
92.6%
58.8%
Humanity's Last Exam
55.5%
4.7%
Long Context Reasoning
82.3%
SciCode
61%
32.4%
IFBench
63.5%
39.8%
τ²-Bench
98.5%
40.6%
τ-Bench Banking
38.1%
8.2%
Terminal-Bench
84.6%
13.9%
Terminal-Bench Hard
62.9%
10.6%
Math index
38.3
MMLU-Pro
68.3%
LiveCodeBench
40.6%
AIME 2025
38.3%
Speed
70 tok/s
0 tok/s
Latency
60.71s
0s
Intelligence per $
2.5
12.4

Benchmark data by Artificial Analysis.

How Claude Fable 5 and Mistral Medium 3.1 score

🤝 Neck and neck on these criteria (2.9 vs 3.1 / 5).
CriterionClaude Fable 5Mistral Medium 3.1
Cost-efficiency2.04.5
Context window5.03.5
Openness1.51.5
Self-hosting1.01.0
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

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...

Mistral Medium 3.1 Paid

Mistral AI · Proprietary

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

Frequently asked questions

Claude Fable 5 vs Mistral Medium 3.1 — which is cheaper?

Mistral Medium 3.1 is cheaper on output ($2/M vs $50/M).

Which has the larger context window?

Claude Fable 5 offers the larger context window (1M tokens).

Claude Fable 5 vs Mistral Medium 3.1 — which should I pick in 2026?

Choose Mistral Medium 3.1 for the lower output price ($2/M vs $50/M). Choose Claude Fable 5 if you need the larger 1M context window.

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