Qwen3.6 27B is $0.38 cheaper per 1M input tokens (55.9% lower; 2.27x difference).
API cost decision in 10 seconds
Qwen3.6 27B vs Qianfan-OCR-Fast
Pick Qwen3.6 27B when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen3.6 27B when budget and context both matter.
On the standard 1M input plus 500K output workload, Qwen3.6 27B is estimated at $1.3 vs $2.08 for Qianfan-OCR-Fast, saving $0.78 (37.6% lower).
Cost-first pickQwen3.6 27B
Context-first pickQwen3.6 27B
Sample savings$0.7837.6%
10x traffic gap$7.85
Qwen3.6 27B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $7.85. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3.6 27B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.6 27B | Qianfan-OCR-Fast |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.6 27B | $2.5 | $4.81 |
| Balanced workload | 1M input + 1M output | Qwen3.6 27B | $2.3 | $3.49 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.6 27B | $10.3 | $14.73 |
Qwen3.6 27B is $0.81 cheaper per 1M output tokens (28.8% lower; 1.41x difference).
Qwen3.6 27B has 196.61K more context (4x larger).
Qwen3.6 27B is $0.78 cheaper on the standard workload (37.6% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Qwen3.6 27B has the lower input price; Qwen3.6 27B has the lower output price; Qwen3.6 27B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.6 27B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.3 for Qwen3.6 27B and $2.08 for Qianfan-OCR-Fast.
Choose Qwen3.6 27B when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Qianfan-OCR-Fast when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Qwen3.6 27B is estimated at $1.3 vs $2.08 for Qianfan-OCR-Fast, saving $0.78 (37.6% lower).
- Qwen3.6 27B is $0.78 cheaper on the standard workload (37.6% lower).
- Qwen3.6 27B is $0.38 cheaper per 1M input tokens (55.9% lower; 2.27x difference).
- Qwen3.6 27B is $0.81 cheaper per 1M output tokens (28.8% lower; 1.41x difference).
- Qwen3.6 27B has 196.61K more context (4x larger).
| Feature | Qwen3.6 27B (Qwen) | Qianfan-OCR-Fast (Baidu) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.3 | $0.68 |
| Completion Price per 1M tokens | $2 | $2.81 |
| Sample Workload Cost 1M input + 500K output | $1.3 | $2.08 |
| Context Window | 262.14K | 65.54K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3.6 27B | On the standard 1M input plus 500K output workload, Qwen3.6 27B is estimated at $1.3 vs $2.08 for Qianfan-OCR-Fast, saving $0.78 (37.6% lower). |
| High-volume input processing | Qwen3.6 27B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3.6 27B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3.6 27B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.6 27B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.6 27B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3.6 27B when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3.6 27B when lower sample workload cost matters most: $0.11.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
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Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
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Open Baidu modelsQwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...
Qianfan-OCR-Fast is a domain-specific multimodal large model purpose-built for OCR. By leveraging specialized OCR training data while preserving versatile multimodal intelligence, it provides a powerful performance upgrade over Qianfan-OCR.