AI model comparison
MiMo-V2.6-Flash vs Claude Fable 5.1
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Xiaomi
MiMo-V2.6-Flash
MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi.
- Input / 1M
- $0.14
- Output / 1M
- $0.28
- Context
- 1.05M
Anthropic
Claude Fable 5.1
Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual
- Input / 1M
- $10
- Output / 1M
- $50
- Context
- 1M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
MiMo-V2.6-Flash
107.1x cheaper for a typical chat
Higher intelligence score
Claude Fable 5.1
53.4 vs 37.9 on Artificial Analysis
Larger context window
MiMo-V2.6-Flash
1.05M vs 1M tokens
Newer release
MiMo-V2.6-Flash
Released September 21, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Claude Fable 5.153.4Coding index
Claude Fable 5.181.6Agentic index
Claude Fable 5.157.9Pricing
MiMo-V2.6-Flash vs Claude Fable 5.1 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Claude Fable 5.1 | |
|---|---|---|
| Input tokensPer 1M tokens | $0.14 | $10 |
| Output tokensPer 1M tokens | $0.28 | $50 |
| Cached input (read)Per 1M tokens | $0.00 | $0.25 |
| Cache writePer 1M tokens | Not available | $12.50 |
| Web searchPer request | Not available | $0.01 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Claude Fable 5.1$45Coding task
30K in, 4K out
Claude Fable 5.1$500$207.50 cachedLong document summary
150K in, 2K out
Claude Fable 5.1$1600$137.50 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Claude Fable 5.1 | |
|---|---|---|
| Context window | 1.05M tokens | 1M tokens |
| Max output | 131K tokens | 128K tokens |
| Input types | Audio, Image, Text, Video | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Max, Extra high, High, Medium, Low |
| Default reasoning effort | Not available | High |
| Release date | September 21, 2026 | September 1, 2026 |
Features
Supported features
API features available for each model.
| Metric | Claude Fable 5.1 | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Not supported |
| Verbosity control | Not supported | Supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- MiMo-V2.6-Flash vs DeepSeek V4.1 Flash
- MiMo-V2.6-Flash vs GLM 5.3 Flash
- MiMo-V2.6-Flash vs Hy4 preview
- MiMo-V2.6-Flash vs GPT-6 Luna
- MiMo-V2.6-Flash vs DeepSeek V4 Flash 0731
- MiMo-V2.6-Flash vs Claude Opus 5.5
- MiMo-V2.6-Flash vs GLM 5.3
- MiMo-V2.6-Flash vs DeepSeek V4 Flash 0423
- MiMo-V2.6-Flash vs Step 5 Preview
- MiMo-V2.6-Flash vs Gemini 3.8 Flash
- MiMo-V2.6-Flash vs Hy3
- MiMo-V2.6-Flash vs GPT-5.6 Luna
- MiMo-V2.6-Flash vs GPT-6.1 Sol
- MiMo-V2.6-Flash vs Muse Spark 1.3 Contributor
- MiMo-V2.6-Flash vs Claude Sonnet 5.5
- MiMo-V2.6-Flash vs MiMo-V2.6-Pro
- MiMo-V2.6-Flash vs DeepSeek V4 Pro 0813
- MiMo-V2.6-Flash vs GPT-6 Astra
- MiMo-V2.6-Flash vs Claude Opus 5
- MiMo-V2.6-Flash vs MiMo-V2.5
- MiMo-V2.6-Flash vs DeepSeek V4 Pro 0423
- MiMo-V2.6-Flash vs Solar Pro 4
- MiMo-V2.6-Flash vs GPT-6 Luna Pro
- MiMo-V2.6-Flash vs Claude Haiku 5.5
- MiMo-V2.6-Flash vs Ling 3.1 Flash
- MiMo-V2.6-Flash vs Qwen3.8 Flash
- MiMo-V2.6-Flash vs Qwen3.7 Flash
- MiMo-V2.6-Flash vs Mistral Nemo
- MiMo-V2.6-Flash vs DeepSeek V4 Flash Vision Exp
Claude Fable 5.1View full model details- Claude Fable 5.1 vs Claude Opus 5.5
- Claude Fable 5.1 vs Claude Sonnet 5.5
- Claude Fable 5.1 vs GPT-6 Astra
- Claude Fable 5.1 vs GPT-6.1 Sol
- Claude Fable 5.1 vs Claude Opus 5
- Claude Fable 5.1 vs Claude Fable 5
- Claude Fable 5.1 vs Muse Spark 1.3
- Claude Fable 5.1 vs GPT-6 Sol
- Claude Fable 5.1 vs GPT-5.6 Sol
- Claude Fable 5.1 vs Kimi K3
- Claude Fable 5.1 vs GLM 5.3 Flash
- Claude Fable 5.1 vs Claude Opus 4.8
- Claude Fable 5.1 vs DeepSeek V4.1 Flash
- Claude Fable 5.1 vs GPT-6 Luna
- Claude Fable 5.1 vs DeepSeek V4 Flash 0731
- Claude Fable 5.1 vs Hy4 preview
Our take
MiMo-V2.6-Flash is 107.1x cheaper for a typical chat. Claude Fable 5.1 scores higher on the Artificial Analysis Intelligence Index (53.4 vs 37.9). MiMo-V2.6-Flash has the larger context window (1.05M vs 1M tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is MiMo-V2.6-Flash or Claude Fable 5.1 cheaper?
MiMo-V2.6-Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). MiMo-V2.6-Flash costs $0.14 per 1M input tokens and $0.28 per 1M output tokens, while Claude Fable 5.1 costs $10 per 1M input tokens and $50 per 1M output tokens.
Which has a bigger context window, MiMo-V2.6-Flash or Claude Fable 5.1?
MiMo-V2.6-Flash supports up to 1.05M tokens of context, compared with 1M for Claude Fable 5.1.
Is MiMo-V2.6-Flash smarter than Claude Fable 5.1?
On the Artificial Analysis Intelligence Index, MiMo-V2.6-Flash scores 37.9 and Claude Fable 5.1 scores 53.4, putting Claude Fable 5.1 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use MiMo-V2.6-Flash and Claude Fable 5.1 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see MiMo-V2.6-Flash and Claude Fable 5.1 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to MiMo-V2.6-Flash and Claude Fable 5.1 at the same time. Compare the answers side by side and keep the best one.