Modelflare · Claude Fable 5Authenticity, speed and price analysis
(%)
(seconds)
coding session
availability
Comparison summary
Claude Fable 5 on Modelflare: availability over the last 24 hours is 98.7%, ranking 1 of 3 relays with data (median 83.3%); time to first token is 0.93 s, ranking 1 of 3 (median 1.95 s); a coding session costs ¥36.5, ranking 2 of 3 (median ¥36.5).
稳定接入 SOTA 模型。 更优的模型价格。 Modelflare 为 AI 工具、应用和 Agent 提供稳定的模型请求服务,聚合多类前沿 SOTA 模型,并提供清晰的价格、用量与请求状态。
Authenticity
Model consistency
Output distribution for the same requests on this relay and on the official API · higher is better
Speed
Measured by time to first token (seconds) and output speed (tokens / second)
Time to first token
Seconds until the first token · lower is better
Price
Cost per coding session
Claude Fable 5 · 2M input and 40k output tokens (¥) · split by token type · lower is better
Prices: cache hit, input and output
¥ / 1M tokens
Cache
Coding requests repeat much of their context, so the cache hit rate largely decides what you actually pay. Drag the hit rate and the costs and ranking below are reweighted with cache prices.
Cache-weighted session cost
Claude Fable 5 · of 2M input tokens, the hit share is billed at the cache price and the rest at the input price, plus 40k output (¥) · lower is better
Stability
Availability
Request success rate, last 24 hours · higher is better
Status of each model, last 24 hours
One cell per hour · green ok, yellow delayed, red failed
| Model | Group | Availability | Last 24 hours | First token | Samples |
|---|---|---|---|---|---|
| DeepSeek V4 Pro | deepseek-stable | 99.0% | 1.35 s | 199 | |
| Claude Opus 5 | claude-award | 99.0% | 1.21 s | 195 | |
| Claude Fable 5 | claude-award | 98.7% | 0.93 s | 153 | |
| GPT 6.1 Sol | openai-first-topup | 98.7% | 0.87 s | 148 | |
| Gemini 3.6 Flash | gemini-stable | 98.6% | 1.79 s | 146 | |
| Gemini 3.8 Flash | gemini-stable | 98.6% | 1.40 s | 139 | |
| GPT 6 Astra | openai-first-topup | 98.5% | 1.33 s | 135 | |
| Grok 4.6 | grok-stable | 98.5% | 6.17 s | 197 | |
| GLM 5.3 | glm-stable | 98.5% | 0.96 s | 197 | |
| Gemini 3.7 Flash | gemini-stable | 98.5% | 1.32 s | 130 | |
| Grok 4.7 | grok-stable | 98.3% | 5.11 s | 176 | |
| Claude Fable 5.1 | claude-first-topup | 98.2% | 1.34 s | 170 | |
| Gemini 3.1 Pro Preview | gemini-stable | 98.2% | 0.91 s | 110 | |
| DeepSeek V4.1 Flash | deepseek-stable | 98.2% | 1.31 s | 217 | |
| GPT 5.5 | openai-first-topup | 98.1% | 1.01 s | 161 | |
| Gemini 3.5 Flash | gemini-stable | 98.1% | 1.78 s | 103 | |
| Claude Haiku 5.5 | claude-first-topup | 98.0% | 0.94 s | 200 | |
| Kimi K3 | kimi-stable | 98.0% | 1.16 s | 198 | |
| Qwen 3.8 Max | qwen-stable | 98.0% | 1.06 s | 147 | |
| GPT 5.6 Terra | openai-first-topup | 97.9% | 1.04 s | 141 | |
| GPT 6 Sol | openai-first-topup | 97.7% | 1.21 s | 132 | |
| Claude Sonnet 5 | claude-award | 97.7% | 1.77 s | 130 | |
| Claude Opus 5.5 | claude-first-topup | 97.3% | 1.57 s | 146 | |
| DeepSeek V4 Flash | deepseek-stable | 97.2% | 1.72 s | 145 | |
| Grok 4.5 | grok-stable | 97.2% | 5.20 s | 215 | |
| GPT 5.6 Sol | openai-first-topup | 97.1% | 1.31 s | 102 |
Service details
Strengths
- 前端设计美观,接入流程相对直观。
- FolkBench 综合评分较高,基础请求稳定:OpenAI 基础请求通过率 100%,Function Calling 与结构化输出均通过 100%。
Limitations
- 降低低价组充值门槛,使更多用户可以体验低价组
FAQ
How much does Claude Fable 5 cost on Modelflare?
Input ¥16.6 and output ¥83 per 1M tokens; at 2M input and 40k output tokens, a coding session costs about ¥36.5, an API rate of 0.25.
How does the cache hit rate affect price?
Modelflare has not published a cache price for this route, so cache hits are billed at the input price.Measured hit rates will replace this assumption once available.
Which models does Modelflare support?
Folkbench currently lists 26: GPT 6 Astra, Claude Fable 5.1, GPT 6 Sol, GPT 6.1 Sol, Claude Opus 5.5, DeepSeek V4.1 Flash, Grok 4.7, Claude Sonnet 5, GPT 5.6 Sol, Claude Fable 5, Claude Haiku 5.5, Claude Opus 5, GPT 5.6 Terra, Kimi K3, DeepSeek V4 Pro, Grok 4.6, Gemini 3.8 Flash, Grok 4.5, GPT 5.5, Qwen 3.8 Max, DeepSeek V4 Flash, Gemini 3.1 Pro Preview, GLM 5.3, Gemini 3.7 Flash, Gemini 3.5 Flash, Gemini 3.6 Flash.
What does the data security level mean?
Folkbench rates relays from 0 to 4 based on public policies and verifiable evidence; Modelflare is currently level 4. The check covers leaks in responses and error messages only, and does not prove data retention or training policies.
How often is this data updated?
Availability and time to first token use a 24-hour window, and this page syncs live data every 15 minutes.