Alibaba has launched a newer model, Qwen3.5 2B, we suggest considering this model instead.
For more information, see Comparison of Qwen3.5 2B to other models and API provider benchmarks for Qwen3.5 2B.
Qwen3 1.7B (Reasoning) Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 32k ~48 A4 pages of size 12 Arial font |
| Total parameters | 2.0B |
| License | Apache 2.0 |
| Model weights | Hugging Face |
Qwen3 1.7B (Reasoning) is below average in intelligence and particularly expensive when comparing to other open weight models of similar size. It's also faster than average, however very verbose. The model supports text input, outputs text, and has a 32k tokens context window.
Qwen3 1.7B (Reasoning) scores 8 on the Artificial Analysis Intelligence Index, placing it below average among comparable models (averaging 8). When evaluating the Intelligence Index, it generated 37M tokens, which is very verbose in comparison to the average of 12M.
Pricing for Qwen3 1.7B (Reasoning) is $0.11 per 1M input tokens (expensive, average: $0.00) and $1.26 per 1M output tokens (expensive, average: $0.00). In total, it cost $52.53 to evaluate Qwen3 1.7B (Reasoning) on the Intelligence Index.
At 127 tokens per second, Qwen3 1.7B (Reasoning) is faster than average (96).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Qwen3 1.7B (Reasoning) API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about Qwen3 1.7B (Reasoning)
Qwen3 1.7B (Reasoning) was released on April 28, 2025.
Qwen3 1.7B (Reasoning) was created by Alibaba.
Qwen3 1.7B (Reasoning) scores 8 on the Artificial Analysis Intelligence Index, placing it below average among other open weight models of similar size (median: 8).
Qwen3 1.7B (Reasoning) generates output at 127.5 tokens per second (based on Alibaba's API), which is above average compared to other open weight models of similar size (median: 96.3 t/s).
Qwen3 1.7B (Reasoning) has a time to first token (TTFT) of 1.72s (based on Alibaba's API), which is somewhat higher than average compared to other open weight models of similar size (median: 1.52s).
Qwen3 1.7B (Reasoning) costs $0.11 per 1M input tokens (better than average, median: $0.11) and $1.26 per 1M output tokens (somewhat higher than average, median: $0.42), based on Alibaba's API.
Qwen3 1.7B (Reasoning) costs $0.11 per 1M input tokens and $1.26 per 1M output tokens (based on Alibaba's API). For a blended rate (3:1 input to output ratio), this is $0.40 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Qwen3 1.7B (Reasoning) generated 37M output tokens, which is somewhat higher than average compared to other open weight models of similar size (median: 12M).
Yes, Qwen3 1.7B (Reasoning) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Qwen3 1.7B (Reasoning) supports text input.
Qwen3 1.7B (Reasoning) supports text output.
No, Qwen3 1.7B (Reasoning) does not support image input. It can only process text.
No, Qwen3 1.7B (Reasoning) is not multimodal. It only supports text input.
Qwen3 1.7B (Reasoning) has a context window of 32k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Qwen3 1.7B (Reasoning) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Qwen3 1.7B (Reasoning) has 2.03 billion parameters.
Qwen3 1.7B (Reasoning) is released under the Apache 2.0 license. This license allows commercial use. View license
Qwen3 1.7B (Reasoning) achieves a score of 8 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Qwen3 1.7B (Reasoning) is available via API through 1 provider. Compare API providers
Qwen3 1.7B (Reasoning) is available through 1 API provider. Compare providers