Claude Fable 5.1 vs Qwen2.5-Coder 32B Instruct
Claude Fable 5.1 leads the LLM Stats Score 54.8 to 2.3. Qwen2.5-Coder 32B Instruct is 222.2x cheaper per token.
Anthropic · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Claude Fable 5.1 leads the overall LLM Stats Score 54.8 to 2.3, ranking #5 overall.
On price, Qwen2.5-Coder 32B Instruct is roughly 222.2x 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 54.8 and ranks #5 on LLM Stats
- your work emphasizes reasoning — 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 Qwen2.5-Coder 32B Instruct
- cost matters — it's about 222.2x 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 · 15 for Qwen2.5-Coder 32B Instruct
Claude Fable 5.1 and Qwen2.5-Coder 32B 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 111.1x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).
For output processing, Claude Fable 5.1 ($50.00/1M tokens) is 555.6x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).
In conclusion, Claude Fable 5.1 is more expensive than Qwen2.5-Coder 32B 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 Qwen2.5-Coder 32B 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 Qwen2.5-Coder 32B 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
Qwen2.5-Coder 32B Instruct
License
Usage and distribution terms
Claude Fable 5.1 is licensed under a proprietary license, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Claude Fable 5.1 was released on 2026-09-01, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.
Claude Fable 5.1 is 24 months newer than Qwen2.5-Coder 32B Instruct.
Sep 1, 2026
0 days ago
2.0yr newerSep 19, 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. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.
Claude Fable 5.1
Qwen2.5-Coder 32B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Fable 5.1 and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Fable 5.1 vs Qwen2.5-Coder 32B Instruct.