Qwen3.8 Max Intelligence, Performance & Price Analysis
Model summary
Intelligence
Speed
Price
Cache Hit Price
Verbosity
Qwen3.8 Max is amongst the leading models in intelligence and reasonably priced when comparing to other models of similar price. It's also slower than average and very verbose. The model supports text, image, and video input, outputs text, and has a 1M tokens context window.
Qwen3.8 Max scores 56 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 32). When evaluating the Intelligence Index, it generated 150M tokens, which is very verbose in comparison to the median of 66M.
Pricing for Qwen3.8 Max is $2.00 per 1M input tokens (somewhat expensive, median: $1.75) and $6.00 per 1M output tokens (moderately priced, median: $10.00). In total, it cost $1749.16 to evaluate Qwen3.8 Max on the Intelligence Index.
At 62 tokens per second, Qwen3.8 Max is slower than average (71).
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image, and video |
| Output modality | Supports: text |
| Context window | 1M ~1500 A4 pages of size 12 Arial font |
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
Highlights
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (Elo-500)/2000
Agentic tool use
Agentic coding & terminal use
Coding
Reasoning & knowledge
Scientific reasoning
Physics reasoning
Knowledge
1 - hallucination rate
Long context reasoning
Agentic knowledge work, Elo
Agentic SaaS workflows
Legal agentic work, criterion pass rate
Agentic business operations
Instruction following
Long-horizon agentic tasks
Kubernetes incident root-cause analysis
Visual reasoning
AA-Omniscience
AA-Omniscience Index
Intelligence Index Comparisons
Intelligence Index vs. Cost per Intelligence Index Task
Token Use
Output Tokens per Intelligence Index Task
Cost
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window
Context Window
Speed
Measured by Output Speed (tokens per second)
Output Speed
Time per Intelligence Index Task
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
Frequently Asked Questions
Common questions about Qwen3.8 Max
Qwen3.8 Max was released on August 3, 2026.
Qwen3.8 Max was created by Alibaba.
Qwen3.8 Max scores 56 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 32).
Qwen3.8 Max generates output at 61.5 tokens per second (based on Alibaba's API), which is below average compared to other reasoning models in a similar price tier (median: 71.1 t/s).
Qwen3.8 Max has a time to first token (TTFT) of 2.56s (based on Alibaba's API), which is better than average compared to other reasoning models in a similar price tier (median: 2.84s).
Qwen3.8 Max costs $2.00 per 1M input tokens (somewhat higher than average, median: $1.75) and $6.00 per 1M output tokens (better than average, median: $10.00), based on Alibaba's API.
Qwen3.8 Max costs $2.00 per 1M input tokens and $6.00 per 1M output tokens (based on Alibaba's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $1.18 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Qwen3.8 Max generated 150M output tokens, which is at the higher end compared to other reasoning models in a similar price tier (median: 66M).
Yes, Qwen3.8 Max is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Qwen3.8 Max supports text, image, and video input.
Qwen3.8 Max supports text output.
Yes, Qwen3.8 Max supports image input and can analyze, describe, and answer questions about images.
Yes, Qwen3.8 Max is multimodal. It can process text, image, and video input and generate text output.
Qwen3.8 Max 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, Qwen3.8 Max is proprietary. The model weights are not publicly available.
Qwen3.8 Max is a proprietary model and Alibaba has not disclosed the model size or parameter count.
Qwen3.8 Max achieves a score of 56 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Qwen3.8 Max is available via API through 1 provider. Compare API providers
Qwen3.8 Max is available through 1 API provider. Compare providers