Claude Fable 5.2 vs Qwen3 VL 8B Thinking
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 models
Claude Fable 5.2 is Anthropic's most capable model for the most demanding technical work, with gains over Fable 5.1 in coding, reasoning, and vision.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- ▲128 K
- Input, $ per 1M tokens
- $8.00
- Output, $ per 1M tokens
- $40.00
- Cache read, $ per 1M
- $0.200
- Batch (input / output)
- $4.00 / $20.00
- Tool calling
- Yes
- Released
- ▲11/09/2026
- Knowledge cutoff
- 2026-06
- API id
- anthropic/claude-fable-5.2
Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 131 K tokens
- Max output
- 33 K
- Input, $ per 1M tokens
- ▲$0.180
- Output, $ per 1M tokens
- ▲$2.10
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 10/14/2025
- Knowledge cutoff
- —
- API id
- qwen/qwen3-vl-8b-thinking
Which is the better API choice: Claude Fable 5.2 vs Qwen3 VL 8B Thinking?
- Qwen3 VL 8B Thinking: cheapest input (98% less than Claude Fable 5.2)
- Qwen3 VL 8B Thinking: cheapest output
- Claude Fable 5.2: largest context (1 M)
- Claude Fable 5.2: the newest (11/09/2026)
- Qwen3 VL 8B Thinking: the fastest (estimated)
Qwen3 VL 8B Thinking costs 98% less on input and 95% less on output than Claude Fable 5.2 ($0.180 / $2.10 versus $8.00 / $40.00 per million tokens). Claude Fable 5.2 accepts more context (1 M). Claude Fable 5.2 offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Qwen3 VL 8B Thinking you save $268.90 a month versus Claude Fable 5.2 (96% less).
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- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4.1 Flash DeepSeek$1.57
- 5DeepSeek V4 Flash 0731 DeepSeek$1.85
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Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2Qwen3 VL 8B Thinking Qwen$0.014
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.2 Anthropic$0.608
- 8Claude Fable 5.1 Anthropic$0.760
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See allFrequently asked questions
Which is the better API choice: Claude Fable 5.2 vs Qwen3 VL 8B Thinking?
Qwen3 VL 8B Thinking costs 98% less on input and 95% less on output than Claude Fable 5.2 ($0.180 / $2.10 versus $8.00 / $40.00 per million tokens). Claude Fable 5.2 accepts more context (1 M). Claude Fable 5.2 offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Claude Fable 5.2 and Qwen3 VL 8B Thinking?
Qwen3 VL 8B Thinking is cheaper: $0.180 per million input tokens and $2.10 per million output tokens, versus $8.00 / $40.00 for Claude Fable 5.2.
Which has more context: Claude Fable 5.2 and Qwen3 VL 8B Thinking?
Claude Fable 5.2 accepts 1 M tokens of context; Qwen3 VL 8B Thinking accepts 131 K.
Which is newer: Claude Fable 5.2 and Qwen3 VL 8B Thinking?
Claude Fable 5.2 was released on 11/09/2026; Qwen3 VL 8B Thinking on 10/14/2025.
What would 10,000 requests a month cost with Claude Fable 5.2 and Qwen3 VL 8B Thinking?
With 1,500 input and 400 output tokens per request: Claude Fable 5.2: $280.00; Qwen3 VL 8B Thinking: $11.10 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.