Model comparison
Compare Claude Fable 5.1 and Qwen3.8-Flash using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
Facts checked September 4, 2026
Set your usage. Your estimate updates as you type.
Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.
One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
| Model | Access | Estimated total (USD) |
|---|---|---|
| Claude Fable 5.1Anthropic | Anthropic | $0.085 |
| Qwen3.8-FlashQwen | Qwen | No reviewed rate |
Quick take
Anthropic's frontier model for ambitious, long-running agentic and coding work, with strong vision and enterprise marketplace availability.
Confirm whether the default 30-day retention, fallback safeguards, and selected cloud marketplace meet your governance requirements before adoption.
Alibaba's efficient million-context multimodal model for fast agents, coding, document work, vision, video understanding, and tool use.
Knowledge cutoff is not published, and regional Model Studio terms can differ from other Qwen gateways. Confirm the exact endpoint, long-context pricing, output limit, logging, and retention settings.
Compare the published facts
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Text & reasoning | Claude Fable 5.1 | Qwen3.8-Flash |
|---|---|---|
| Context windowMaximum combined prompt and working context documented by the provider. | 1M tokens | Up to 1M tokens through Model Studio |
| Maximum outputProvider-published response limit, where available. | 128K tokens | Up to 131,072 tokens |
| Knowledge cutoffLatest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff. | June 2026 | Not published |
| Input priceCurrent standard list price per million input tokens unless noted. | $10 / 1M | $0.113 / 1M tokens |
| Output priceCurrent standard list price per million output tokens unless noted. | $50 / 1M | $0.382 / 1M tokens |
| InputsMedia types accepted by the listed model endpoint. | Text, image, PDF | Text, image, video |
| Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list. | Tool use, agents, vision, coding workflows | Function calling, web search, structured output, tools |
How to choose
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
Fable requires 30-day retention for safety monitoring by default. Anthropic says enterprise data is not used for training without explicit permission; eligible enterprises can use EFS/customer-controlled storage or temporary zero-retention arrangements.
Alibaba's public model page should be read together with the selected Model Studio region and account terms. Do not assume another Qwen gateway's retention or training setting applies to the Alibaba Cloud route.
Frequently asked questions
Claude Fable 5.1: Anthropic's frontier model for ambitious, long-running agentic and coding work, with strong vision and enterprise marketplace availability. Qwen3.8-Flash: Alibaba's efficient million-context multimodal model for fast agents, coding, document work, vision, video understanding, and tool use.
Consider Claude Fable 5.1 when your priority is Long-running autonomous projects. Consider Qwen3.8-Flash when your priority is Cost-sensitive multimodal agents. Test both with your own data and provider route before committing.
No. This comparison aligns provider-published facts for the Text & reasoning category. It does not claim a universal winner or combine incompatible third-party benchmark scores.
