# Qwen3.8 Max – Cost per task higher than Astra on Artificial Analysis > Source: > Published: 2026-09-16 07:31:20+00:00 # Qwen3.8 Max (0902) Intelligence, Performance & Price Analysis ### Model summary Qwen3.8 Max (0902) is amongst the leading models in intelligence and reasonably priced when comparing to other models of similar price. It's also notably slow and very verbose. The model supports text and image input, outputs text, and has a 984k tokens context window. Qwen3.8 Max (0902) scores 45 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 25). When evaluating the Intelligence Index, it generated 190M tokens, which is very verbose in comparison to the median of 90M. Pricing for Qwen3.8 Max (0902) is $2.00 per 1M input tokens (moderately priced, median: $2.00) and $6.00 per 1M output tokens (moderately priced, median: $10.00). In total, it cost $4934.79 to evaluate Qwen3.8 Max (0902) on the Intelligence Index. At 40 tokens per second, Qwen3.8 Max (0902) is notably slow (66). | Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. | |---|---| | Input modality | Supports: text and image | | Output modality | Supports: text | | Context window | 984k ~1475 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 ## IntelligenceUpdated ### [Artificial Analysis Intelligence Index](https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index) ### Artificial Analysis Intelligence Index by Open Weights / Proprietary ## [Capability Indices](https://artificialanalysis.ai/models/capabilities)Updated Measures the performance of models on specific capabilities and industries ### [Artificial Analysis Finance & Accounting Index](https://artificialanalysis.ai/models/capabilities/finance-and-accounting) ### Intelligence Evaluations Agentic knowledge work, (Elo-500)/2000 Agentic real-world work tasks, (Elo-500)/2000 [AutomationBench-AA](https://artificialanalysis.ai/evaluations/automationbench-aa)Updated Agentic SaaS workflows Agentic coding & terminal use Coding Reasoning & knowledge [GDP.pdf](https://artificialanalysis.ai/evaluations/gdp-pdf)New Professional document reasoning, All-pass Physics reasoning Knowledge 1 - hallucination rate Long context reasoning Legal agentic work, criterion pass rate Agentic business operations Quantitative analysis on spreadsheets & documents Agentic tool use Kubernetes incident root-cause analysis Visual reasoning [MLCR-AA](https://artificialanalysis.ai/evaluations/mlcr-aa)New Medical long context reasoning ### AA-Briefcase ### AA-Briefcase Elo ### 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 (0902) Qwen3.8 Max (0902) was released on September 2, 2026. Qwen3.8 Max (0902) was created by Alibaba. Qwen3.8 Max (0902) scores 45 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 25). Qwen3.8 Max (0902) generates output at 39.7 tokens per second (based on Alibaba's API), which is at the lower end compared to other reasoning models in a similar price tier (median: 66.4 t/s). Qwen3.8 Max (0902) has a time to first token (TTFT) of 2.78s (based on Alibaba's API), which is better than average compared to other reasoning models in a similar price tier (median: 3.58s). Qwen3.8 Max (0902) costs $2.00 per 1M input tokens (better than average, median: $2.00) and $6.00 per 1M output tokens (better than average, median: $10.00), based on Alibaba's API. Qwen3.8 Max (0902) 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](https://artificialanalysis.ai/models/qwen3-8-max/providers) When evaluated on the Intelligence Index, Qwen3.8 Max (0902) generated 190M output tokens, which is at the higher end compared to other reasoning models in a similar price tier (median: 90M). Yes, Qwen3.8 Max (0902) 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 (0902) supports text and image input. Qwen3.8 Max (0902) supports text output. Yes, Qwen3.8 Max (0902) supports image input and can analyze, describe, and answer questions about images. Yes, Qwen3.8 Max (0902) is multimodal. It can process text and image input and generate text output. Qwen3.8 Max (0902) has a context window of 980k tokens. This determines how much text and conversation history the model can process in a single request. No, Qwen3.8 Max (0902) is proprietary. The model weights are not publicly available. Qwen3.8 Max (0902) is a proprietary model and Alibaba has not disclosed the model size or parameter count. Qwen3.8 Max (0902) achieves a score of 45 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding. Yes, Qwen3.8 Max (0902) is available via API through 1 provider. [Compare API providers](https://artificialanalysis.ai/models/qwen3-8-max/providers) Qwen3.8 Max (0902) is available through 1 API provider. [Compare providers](https://artificialanalysis.ai/models/qwen3-8-max/providers)