Claude Fable 5.1 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.025000 (rounded ~ $0.03)
Output: $0.025000 (rounded ~ $0.03)
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 500 output tokens:
- Input Cost: $1.000000
- Output Cost: $0.025000 (rounded ~ $0.03)
- Total Cost: $0.537500 (rounded ~ $0.54)
- Cost per 1K tokens: $0.005348 (rounded ~ $0.01)
- Tokens per dollar: 186,977 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 210 tokens per second and 430ms time to first token:
- Processing Time: 8 minutes, 32.25 seconds
- Latency: 430 milliseconds to first token
- Base Throughput: 210 tokens/second
- Effective Throughput: 196 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to Claude Fable 5.1| Rank | AI Model & Provider | Total Cost | vs Claude Fable 5.1 |
|---|---|---|---|
| 🏆 |
Claude Haiku 5.5
Anthropic
|
$0.005750 (rounded ~ $0.01) Best Value | ↓ 98.9% cheaper |
| 🥈 |
GPT-6 Luna
OpenAI
|
$0.005750 (rounded ~ $0.01) | ↓ 98.9% cheaper |
| 🥉 |
GPT-5.6 Luna
OpenAI
|
$0.011600 (rounded ~ $0.01) | ↓ 97.8% cheaper |
| #4 |
Grok Code Fast 1
xAI
|
$0.011750 (rounded ~ $0.01) | ↓ 97.8% cheaper |
| #5 |
Gemini 3.1 Flash Lite
Google
|
$0.014500 (rounded ~ $0.01) | ↓ 97.3% cheaper |
| #6 |
Gemini 3.5 Flash-Lite
Google
|
$0.017750 (rounded ~ $0.02) | ↓ 96.7% cheaper |
| #7 |
Gemini 2.5 Flash
Google
|
$0.017750 (rounded ~ $0.02) | ↓ 96.7% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.028250 (rounded ~ $0.03) | ↓ 94.7% cheaper |
| #9 |
Gemini 3.1 Flash
Google
|
$0.029000 | ↓ 94.6% cheaper |
| #10 |
Gemini 3.8 Flash
Google
|
$0.043125 (rounded ~ $0.04) | ↓ 92% cheaper |
| #11 |
Gemini 3.6 Flash
Google
|
$0.043125 (rounded ~ $0.04) | ↓ 92% cheaper |
| #12 |
GPT-5.4 mini
OpenAI
|
$0.043500 (rounded ~ $0.04) | ↓ 91.9% cheaper |
| #13 |
Grok Build 0.1
xAI
|
$0.056000 (rounded ~ $0.06) | ↓ 89.6% cheaper |
| #14 |
Claude Haiku 4.5
Anthropic
|
$0.057500 (rounded ~ $0.06) | ↓ 89.3% cheaper |
| #15 |
Grok 4.3
xAI
|
$0.070000 | ↓ 87% cheaper |
| #16 |
Grok 4.20 Beta
xAI
|
$0.070000 | ↓ 87% cheaper |
| #17 |
Gemini 2.5 Pro
Google
|
$0.073750 (rounded ~ $0.07) | ↓ 86.3% cheaper |
| #18 |
Mistral Large 4
Mistral AI
|
$0.076890 (rounded ~ $0.08) | ↓ 85.7% cheaper |
| #19 |
GPT-5.3 Codex Spark
OpenAI
|
$0.103250 (rounded ~ $0.10) | ↓ 80.8% cheaper |
| #20 |
GPT-5.3 Instant
OpenAI
|
$0.103250 (rounded ~ $0.10) | ↓ 80.8% cheaper |
| #21 |
Claude Sonnet 5.5
Anthropic
|
$0.110000 | ↓ 79.5% cheaper |
| #22 |
Grok 4.7
xAI
|
$0.113000 (rounded ~ $0.11) | ↓ 79% cheaper |
| #23 |
Grok 4.6
xAI
|
$0.113000 (rounded ~ $0.11) | ↓ 79% cheaper |
| #24 |
Grok 4.5
xAI
|
$0.113000 (rounded ~ $0.11) | ↓ 79% cheaper |
| #25 |
Gemini 4 Argon
Google
|
$0.115000 (rounded ~ $0.12) | ↓ 78.6% cheaper |
| #26 |
GPT-6.1 Sol
OpenAI
|
$0.115000 (rounded ~ $0.12) | ↓ 78.6% cheaper |
| #27 |
GPT-6 Sol
OpenAI
|
$0.115000 (rounded ~ $0.12) | ↓ 78.6% cheaper |
| #28 |
Claude Sonnet 5
Anthropic
|
$0.115000 (rounded ~ $0.12) | ↓ 78.6% cheaper |
| #29 |
Gemini 3.1 Pro
Google
|
$0.116000 (rounded ~ $0.12) | ↓ 78.4% cheaper |
| #30 |
GPT-5.6 Terra
OpenAI
|
$0.116000 (rounded ~ $0.12) | ↓ 78.4% cheaper |
| #31 |
Kimi K3.1 Pro
Moonshot AI
|
$0.122000 (rounded ~ $0.12) | ↓ 77.3% cheaper |
| #32 |
GPT-5.4
OpenAI
|
$0.145000 (rounded ~ $0.15) | ↓ 73% cheaper |
| #33 |
GPT-5.4 Thinking
OpenAI
|
$0.145000 (rounded ~ $0.15) | ↓ 73% cheaper |
| #34 |
Claude Sonnet 4.6
Anthropic
|
$0.172500 (rounded ~ $0.17) | ↓ 67.9% cheaper |
| #35 |
Kimi K3
Moonshot AI
|
$0.183000 (rounded ~ $0.18) | ↓ 66% cheaper |
| #36 |
Claude Opus 5.5
Anthropic
|
$0.220000 | ↓ 59.1% cheaper |
| #37 |
GPT-5.6 Sol
OpenAI
|
$0.230000 | ↓ 57.2% cheaper |
| #38 |
Claude Opus 4.7
Anthropic
|
$0.287500 (rounded ~ $0.29) | ↓ 46.5% cheaper |
| #39 |
Claude Opus 5
Anthropic
|
$0.287500 (rounded ~ $0.29) | ↓ 46.5% cheaper |
| #40 |
Claude Opus 4.8
Anthropic
|
$0.287500 (rounded ~ $0.29) | ↓ 46.5% cheaper |
| #41 |
Claude Opus 4.6
Anthropic
|
$0.287500 (rounded ~ $0.29) | ↓ 46.5% cheaper |
| #42 |
GPT-5.5
OpenAI
|
$0.290000 | ↓ 46% cheaper |
| #43 |
GPT-5.5 Instant
OpenAI
|
$0.290000 | ↓ 46% cheaper |
| #44 |
Muse Wonder 1.0
Meta AI
|
$0.410000 | ↓ 23.7% cheaper |
| #45 |
Claude Mythos 5.1
Anthropic
|
$0.537500 (rounded ~ $0.54) | Same price |
| #46 |
Claude Fable 5
Anthropic
|
$0.575000 (rounded ~ $0.58) | ↑ 7% more |
| #47 |
Claude Mythos 5
Anthropic
|
$0.575000 (rounded ~ $0.58) | ↑ 7% more |
| #48 |
GPT-6 Astra
OpenAI
|
$0.575000 (rounded ~ $0.58) | ↑ 7% more |
| #49 |
GPT-5.2 Pro
OpenAI
|
$1.239000 | ↑ 130.5% more |
| #50 |
GPT-5.2 Pro
OpenAI
|
$1.239000 | ↑ 130.5% more |
Claude Haiku 5.5 Anthropic
GPT-6 Luna OpenAI
GPT-5.6 Luna OpenAI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.1 Flash Google
Gemini 3.8 Flash Google
Gemini 3.6 Flash Google
GPT-5.4 mini OpenAI
Grok Build 0.1 xAI
Claude Haiku 4.5 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 2.5 Pro Google
Mistral Large 4 Mistral AI
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Claude Sonnet 5.5 Anthropic
Grok 4.7 xAI
Grok 4.6 xAI
Grok 4.5 xAI
Gemini 4 Argon Google
GPT-6.1 Sol OpenAI
GPT-6 Sol OpenAI
Claude Sonnet 5 Anthropic
Gemini 3.1 Pro Google
GPT-5.6 Terra OpenAI
Kimi K3.1 Pro Moonshot AI
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Sonnet 4.6 Anthropic
Kimi K3 Moonshot AI
Claude Opus 5.5 Anthropic
GPT-5.6 Sol OpenAI
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.5 OpenAI
GPT-5.5 Instant OpenAI
Muse Wonder 1.0 Meta AI
Claude Mythos 5.1 Anthropic
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-6 Astra OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Knowledge base Q&A for HR policies is a classic high-stakes use case where retrieval accuracy is paramount. Employees need definitive answers from complex, multi-page handbooks without the risk of hallucinated policy interpretations. Claude Fable 5.1 shines here due to its strong instruction-following and structured reasoning capabilities, which are essential when querying 50+ documents that often contain legacy clauses or conflicting guidelines.
For teams and indie hackers building internal MVP portals, the model offers a balance of reasoning depth and latency that makes it suitable for rapid prototyping. Instead of training custom models, leveraging a pre-trained powerhouse allows for faster iteration on the RAG pipeline. The ability to handle document context effectively means you can ingest entire employee handbooks and benefits guides, providing a conversational interface that feels natural rather than robotic.
When evaluating models for internal tools, consider the impact of reasoning quality on user trust. If the AI provides a policy summary that is slightly off, it impacts employee confidence. Claude Fable 5.1 is particularly robust for these nuanced tasks, reducing the need for aggressive post-processing or complex prompt engineering. This makes it an ideal choice for developers who need a reliable, high-performance engine for internal document analysis without the complexity of maintaining massive open-source deployments. Whether you are scaling a small team or building a dedicated knowledge-management app, focusing on high-accuracy reasoning is the best way to ensure the tool becomes a valued part of your company culture rather than just another chatbot.