Alibaba has launched a newer model, Qwen3 32B, we suggest considering this model instead.
For more information, see Comparison of Qwen3 32B to other models and API provider benchmarks for Qwen3 32B.
Qwen2.5 Turbo 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 | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text This information is still being updated |
| Output modality | This information is still being updated |
| Context window | 1m ~1500 A4 pages of size 12 Arial font |
Qwen2.5 Turbo is above average in intelligence, but particularly expensive when comparing to other non-reasoning models of similar price. It's also slower than average, however fairly concise. The model supports text input, and has a 1m tokens context window.
Qwen2.5 Turbo scores 12 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (averaging 11). When evaluating the Intelligence Index, it generated 1.4M tokens, which is fairly concise in comparison to the average of 3.0M.
Pricing for Qwen2.5 Turbo is $0.05 per 1M input tokens (expensive, average: $0.00) and $0.20 per 1M output tokens (expensive, average: $0.00). In total, it cost $0.36 to evaluate Qwen2.5 Turbo on the Intelligence Index.
At 56 tokens per second, Qwen2.5 Turbo is slower than average (98).
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 Qwen2.5 Turbo 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
Comparisons to Qwen2.5 Turbo
Qwen2.5 Turbo
gpt-oss-20B (high)
gpt-oss-120B (high)
GPT-5.2 (xhigh)
GPT-5.4 (xhigh)
GPT-5.4 Pro (xhigh)
GPT-5.3 Codex (xhigh)
Llama 4 Maverick
Gemini 3.1 Flash-Lite Preview
Gemini 3.1 Pro Preview
Gemini 3 Flash
Claude Sonnet 4.6 (max)
Claude Opus 4.6 (max)
Claude 4.5 Haiku
Mistral Large 3DeepSeek V3.2
Grok 4.1 Fast
Grok 4.20 Beta 0309
Nova 2.0 Pro Preview (medium)
MiniMax-M2.5
NVIDIA Nemotron 3 Super
NVIDIA Nemotron 3 Nano
Kimi K2.5
K-EXAONEMiMo-V2-Flash (Feb 2026)
K2 Think V2
Mi:dm K 2.5 ProGLM-5
Qwen3.5 397B A17B
Frequently Asked Questions
Common questions about Qwen2.5 Turbo
Qwen2.5 Turbo was released on November 18, 2024.
Qwen2.5 Turbo was created by Alibaba.
Qwen2.5 Turbo scores 12 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other non-reasoning models in a similar price tier (median: 11).
Qwen2.5 Turbo generates output at 56.5 tokens per second (based on Alibaba's API), which is below average compared to other non-reasoning models in a similar price tier (median: 97.8 t/s).
Qwen2.5 Turbo has a time to first token (TTFT) of 2.25s (based on Alibaba's API), which is at the higher end compared to other non-reasoning models in a similar price tier (median: 0.87s).
Qwen2.5 Turbo costs $0.05 per 1M input tokens (very competitive, median: $0.06) and $0.20 per 1M output tokens (somewhat higher than average, median: $0.17), based on Alibaba's API.
Qwen2.5 Turbo costs $0.05 per 1M input tokens and $0.20 per 1M output tokens (based on Alibaba's API). For a blended rate (3:1 input to output ratio), this is $0.09 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Qwen2.5 Turbo generated 1.4M output tokens, which is very competitive compared to other non-reasoning models in a similar price tier (median: 3.0M).
No, Qwen2.5 Turbo is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Qwen2.5 Turbo supports text input.
Qwen2.5 Turbo supports text only output.
No, Qwen2.5 Turbo does not support image input. It can only process text.
No, Qwen2.5 Turbo is not multimodal. It only supports text input.
Qwen2.5 Turbo has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
No, Qwen2.5 Turbo is proprietary. The model weights are not publicly available.
Qwen2.5 Turbo is a proprietary model and Alibaba has not disclosed the model size or parameter count.
Qwen2.5 Turbo achieves a score of 12 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Qwen2.5 Turbo is available via API through 1 provider. Compare API providers
Qwen2.5 Turbo is available through 1 API provider. Compare providers