Anthropic
Claude Fable 5.1
Anthropic's most capable generally available model. Same list price as Fable 5, cache reads at a quarter of the cost, biggest gains on long-running agentic work.
Replaces Claude Fable 5: same input and output price, same context window.
Run this model
anthropic/claude-fable-5.1
const response = await fetch('https://api.minirouter.sh/v1/chat/completions', { method: 'POST', headers: { Authorization: `Bearer ${process.env.MINIROUTER_KEY}`, 'Content-Type': 'application/json', }, body: JSON.stringify({ model: 'anthropic/claude-fable-5.1', messages: [{ role: 'user', content: 'Why is the sky blue?' }], }),}) const data = await response.json()console.log(data.choices[0].message.content)Model overview
- Input / 1M
- $10.5
- All-in MiniRouter rate
- Output / 1M
- $52.5
- All-in MiniRouter rate
- Context
- 1M
- tokens
- Max output
- 128K
- tokens
- Effort
- low → xhigh
- adaptive thinking, always on
- Cache read
- $0.25 list
- was $1.00 on Fable 5
- Released
- 31 Aug 2026
- publisher release
Publisher-reported, plotted by MiniRouter
The jump is in the long-running work.
Anthropic's launch table puts Fable 5.1 ahead of Fable 5, Opus 5, and GPT-5.6 Sol on all nine evaluations. The gaps are widest on agentic research and business workflows. MiniRouter plotted the table and did not run the evaluations.
Agentic scientific research
More than double Fable 5 on Terminal-Bench-Science.
Multi-step research tasks in a terminal. Standard error is ±3.5 to 4.5 points, so the lead is well outside noise.
- Fable 5.1
- 52.6%
- vs Fable 5
- 2.1×24.7%
- vs Opus 5
- 1.8×29.0%
Terminal-Bench-Science 0.1
0 to 100%
- Claude Fable 5.152.6%1
- Claude Fable 524.7%
- Claude Opus 529.0%
- GPT-5.6 Sol22.4%
View chart data
| Model | Score | Relative to Fable 5.1 |
|---|---|---|
| Claude Fable 5.1 | 52.6% | — |
| Claude Fable 5 | 24.7% | 47% |
| Claude Opus 5 | 29.0% | 55% |
| GPT-5.6 Sol | 22.4% | 43% |
Eight more evaluations
Coding, computer use, knowledge work, reasoning
- Claude Fable 5.1
- Comparison models
Agentic coding
Terminal-Bench 4.0
- Claude Fable 5.155.8%
- Claude Fable 542.0%
- Claude Opus 552.3%
- GPT-5.6 Sol37.3%
0 to 100%
Agentic coding
CursorBench 3.2.0
- Claude Fable 5.173.4%
- Claude Fable 570.5%
- Claude Opus 570.0%
- GPT-5.6 Sol67.2%
0 to 100%
Business workflows
AutomationBench
- Claude Fable 5.131.4%
- Claude Fable 517.1%
- Claude Opus 526.9%
- GPT-5.6 Sol19.6%
0 to 100%
Knowledge work
GDPval-AA v2 (Elo)
- Claude Fable 5.11,853
- Claude Fable 51,723
- Claude Opus 51,824
- GPT-5.6 Sol1,711
1,600 to 1,900 Elo
Computer use
OSWorld 2.0 · partial
- Claude Fable 5.177.9%2
- Claude Fable 572.9%
- Claude Opus 575.4%
- GPT-5.6 Sol—Not reported
0 to 100%
Computer use
OSWorld 2.0 · strict
- Claude Fable 5.141.7%2
- Claude Fable 536.1%
- Claude Opus 539.6%
- GPT-5.6 Sol—Not reported
0 to 100%
Multidisciplinary reasoning
Humanity's Last Exam · no tools
- Claude Fable 5.160.9%
- Claude Fable 557.8%
- Claude Opus 556.6%
- GPT-5.6 Sol—Not reported
0 to 100%
Multidisciplinary reasoning
Humanity's Last Exam · with tools
- Claude Fable 5.165.0%
- Claude Fable 563.8%
- Claude Opus 563.6%
- GPT-5.6 Sol—Not reported
0 to 100%
View chart data
| Benchmark | Claude Fable 5.1 | Claude Fable 5 | Claude Opus 5 | GPT-5.6 Sol |
|---|---|---|---|---|
| Terminal-Bench-Science 0.1 | 52.6% | 24.7% | 29.0% | 22.4% |
| Terminal-Bench 4.0 | 55.8% | 42.0% | 52.3% | 37.3% |
| CursorBench 3.2.0 | 73.4% | 70.5% | 70.0% | 67.2% |
| AutomationBench | 31.4% | 17.1% | 26.9% | 19.6% |
| GDPval-AA v2 (Elo) | 1,853 | 1,723 | 1,824 | 1,711 |
| OSWorld 2.0 · partial | 77.9% | 72.9% | 75.4% | Not reported |
| OSWorld 2.0 · strict | 41.7% | 36.1% | 39.6% | Not reported |
| Humanity's Last Exam · no tools | 60.9% | 57.8% | 56.6% | Not reported |
| Humanity's Last Exam · with tools | 65.0% | 63.8% | 63.6% | Not reported |
Artificial Analysis, independent
Top of the index, and it spends tokens to get there.
First of 192 models on the Intelligence Index, four points above Fable 5. It used about 70% more output tokens to get there, so each task costs more at the same token price.
Intelligence Index v4.1.1
Nine-evaluation composite
Agentic, coding, and reasoning evaluations combined into one score.
Index score
0 to 100
- Claude Fable 5.166
- Claude Fable 562
View chart data
| Model | Index | Rank |
|---|---|---|
| Claude Fable 5.1 | 66 | #1 of 192 |
| Claude Fable 5 | 62 | #6 of 192 |
What it costs to run
Same price per token, more tokens per task
Cost per Intelligence Index task at Anthropic list prices.
Cost per task
$0 to $4
- Claude Fable 5.13.69
- Claude Fable 53.14
- Output tokens, whole index
- 140Mvs 83M
- Output speed
- 66 tok/svs 67
View chart data
| Metric | Claude Fable 5.1 | Claude Fable 5 |
|---|---|---|
| Cost per Index task | $3.69 | $3.14 |
| Output tokens across the Index | 140M | 83M |
| Output speed | 66.0 tok/s | 66.9 tok/s |
| Time to first token | 285s | 122s |
Pricing
List price unchanged. Cache reads cut 75%.
Anthropic's August usage data puts the saving at about 25% on typical workloads and up to 45% on cache-heavy agentic ones. Uncached, high-effort work costs more, as the per-task figure above shows.
How MiniRouter prices models →Anthropic list, per 1M tokens
- Input
- $10.00unchanged
- Output
- $50.00unchanged
- Cache write · 5 min
- $12.50
- Cache read
- $0.25was $1.00
Anthropic's indexed workload cost
Fable 5 = 100
0 to 100
- Fable 5, any workload100
- Fable 5.1, typical75
- Fable 5.1, agentic55
“About 25%” and “up to 45%” savings, plotted as 75 and 55.
View chart data
| Rate | Claude Fable 5.1 | Claude Fable 5 |
|---|---|---|
| Input / 1M | $10.00 | $10.00 |
| Output / 1M | $50.00 | $50.00 |
| Cache write, 5 min / 1M | $12.50 | $12.50 |
| Cache write, 1 hour / 1M | $20.00 | $20.00 |
| Cache read / 1M | $0.25 | $1.00 |
| Batch API | 50% off input and output | 50% off input and output |
Before you switch from Fable 5
Three requests that used to work now return 400.
Anthropic's rules, enforced on every MiniRouter endpoint. Everything else carries over from Fable 5.
Anthropic migration guide ↗- 01
Forced tool use is rejected
tool_choice "any" or "tool" returns 400. Use "auto" and name the tool in the prompt, or structured outputs for JSON.
- 02
Thinking blocks are bound to the model
Other models drop Fable 5.1 thinking blocks silently, so a mid-conversation switch loses that reasoning.
- 03
Editing earlier turns invalidates thinking
Accounts created from 31 Aug 2026 get a 400 when history before a thinking block changes. Keep harnesses append-only.
One route, standard clients.
Authenticate with a MiniRouter bearer key. Caller-provided upstream credentials are not used on this route.
Read model setup docs →https://api.minirouter.sh/v1anthropic/claude-fable-5.1/v1/chat/completions/v1/messages/v1/responsesmax_tokens, temperature, stop, tools, tool_choice, reasoning, include_reasoning
Configured provider
Priority follows the live catalog order.
Input: text, image, pdf · Output: text
| Provider | Priority | Input / 1M | Output / 1M | Parameters | Access |
|---|---|---|---|---|---|
vercel | 1 | $10.5 | $52.5 | max_tokens, temperature, stop, tools, tool_choice, reasoning, include_reasoning | MiniRouter balance |