Claude Fable 5.1 vs Phi-3.5-mini-instruct
Claude Fable 5.1 leads the LLM Stats Score 57.0 to -3.7. Phi-3.5-mini-instruct is 200.0x cheaper per token.
Anthropic · Microsoft · Updated for 2026
Which is better?
Claude Fable 5.1 leads the overall LLM Stats Score 57.0 to -3.7, ranking #1 overall.
On price, Phi-3.5-mini-instruct is roughly 200.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Fable 5.1 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Fable 5.1
- overall performance matters — it scores 57.0 and ranks #1 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Phi-3.5-mini-instruct
- cost matters — it's about 200.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
7 reported for Claude Fable 5.1 · 31 for Phi-3.5-mini-instruct
Claude Fable 5.1 and Phi-3.5-mini-instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Fable 5.1 ($10.00/1M tokens) is 100.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).
For output processing, Claude Fable 5.1 ($50.00/1M tokens) is 500.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).
In conclusion, Claude Fable 5.1 is more expensive than Phi-3.5-mini-instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Fable 5.1 accepts 1,000,000 input tokens compared to Phi-3.5-mini-instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Fable 5.1 supports multimodal inputs, whereas Phi-3.5-mini-instruct does not.
Claude Fable 5.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Fable 5.1
Phi-3.5-mini-instruct
License
Usage and distribution terms
Claude Fable 5.1 is licensed under a proprietary license, while Phi-3.5-mini-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude Fable 5.1 was released on 2026-09-01, while Phi-3.5-mini-instruct was released on 2024-08-23.
Claude Fable 5.1 is 25 months newer than Phi-3.5-mini-instruct.
Sep 1, 2026
1 days ago
2.0yr newerAug 23, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Fable 5.1 is available from Anthropic. Phi-3.5-mini-instruct is available from Azure.
Claude Fable 5.1
Phi-3.5-mini-instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Fable 5.1 and Phi-3.5-mini-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Fable 5.1 vs Phi-3.5-mini-instruct.