Qwen3.8 Max – Cost per task higher than Astra on Artificial Analysis

Alibaba's Qwen3.8 Max (0902), released September 2, 2026, scores 45 on the Artificial Analysis Intelligence Index, well above the median of 25 for comparable models, but its cost per task runs higher than Astra's, according to Artificial Analysis. The model is priced at $2.00 per 1M input tokens and $6.00 per 1M output tokens, and cost $4,934.79 to evaluate on the Intelligence Index, generating 190M tokens versus a median of 90M. Qwen3.8 Max (0902) supports text and image input with a 984k-token context window and runs at 40 tokens per second, which Artificial Analysis rates as notably slow.

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