Qwen3.5 35B A3B (Reasoning) vs Claude Opus 4.5 (Reasoning): Model Comparison
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Qwen3.5 35B A3B (Reasoning) vs. Claude Opus 4.5 (Reasoning)
Comparison between Qwen3.5 35B A3B (Reasoning) and Claude Opus 4.5 (Reasoning) across intelligence, price, speed, context window and more.
For details relating to our methodology, see our Methodology page.
Highlights
Intelligence
Artificial Analysis Intelligence Index · Higher is better
Speed
Output tokens per second · Higher is better
Updated
Price
USD per 1M tokens (blended) · Lower is better
IntelligenceOpennessIntelligence Index ComparisonsIntelligence Index Token Use & CostContext WindowPricingUpdatedSpeedLatencyEnd-to-End Response TimeModel Size (Open Weights Models Only)
Model Comparison
Metric| Qwen3.5 35B A3B (Reasoning)| Claude Opus 4.5 (Reasoning)| Analysis
Creator| | Context Window| 262k tokens (~393 A4 pages of size 12 Arial font)| 200k tokens (~300 A4 pages of size 12 Arial font)| Qwen3.5 35B A3B (Reasoning) is larger than Claude Opus 4.5 (Reasoning) Release Date| February, 2026| November, 2025| Qwen3.5 35B A3B (Reasoning) has a more recent release date than Claude Opus 4.5 (Reasoning) Image Input Support| Yes| Yes| Both Qwen3.5 35B A3B (Reasoning) and Claude Opus 4.5 (Reasoning) have image input support Open Source (Weights)| Yes | No| Qwen3.5 35B A3B (Reasoning) is open source while Claude Opus 4.5 (Reasoning) is proprietary
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index v4.0 incorporates 10 evaluations: GDPval-AA, 𝜏²-Bench Telecom, Terminal-Bench Hard, SciCode, AA-LCR, AA-Omniscience, IFBench, Humanity's Last Exam, GPQA Diamond, CritPt
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Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Artificial Analysis Intelligence Index v4.0 incorporates 10 evaluations: GDPval-AA, 𝜏²-Bench Telecom, Terminal-Bench Hard, SciCode, AA-LCR, AA-Omniscience, IFBench, Humanity's Last Exam, GPQA Diamond, CritPt
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ProprietaryOpen Weights
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Artificial Analysis Intelligence Index
Open Weights
Intelligence Evaluations
Intelligence evaluations measured independently by Artificial Analysis · Higher is better
14 of 16 quality evaluations
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Agentic real-world work tasks, (Elo-500)/2000
Agentic coding & terminal use
Agentic tool use
Long context reasoning
Knowledge
AA-Omniscience Non-Hallucination Rate
1 - hallucination rate
Reasoning & knowledge
Scientific reasoning
Coding
Instruction following
Physics reasoning
Long-horizon agentic tasks
No data available
Kubernetes incident root-cause analysis
Visual reasoning
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Intelligence Evaluation Relevance
Artificial Analysis Intelligence Index
Openness
Artificial Analysis Openness Index: Score
Openness Index assesses model openness on a 0 to 100 normalized scale (higher is more open)
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Intelligence Index Comparisons
Intelligence vs. Price
Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended)
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Most attractive quadrant
AlibabaAnthropic
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Price-Quality Variance
Artificial Analysis Intelligence Index
Price
Cache Pricing by Provider
Model Performance Representation
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Tokens used to run all evaluations in the Artificial Analysis Intelligence Index
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Answer TokensReasoning Tokens
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Artificial Analysis Intelligence Index Output Tokens
Cost to Run Artificial Analysis Intelligence Index
Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index
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OutputReasoningInput
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Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Context window: tokens limit · Higher is better
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Context Window for RAG
Context Window
PricingUpdated
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output tokens per second · Higher is better
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Output Speed
Model Performance Representation
Output Speed vs. Price
Output speed: output tokens per second · USD per 1M tokens (blended)
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Most attractive quadrant
Alibaba
Anthropic
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Output Speed
Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
Seconds to first answer token received · Accounts for reasoning model 'thinking' time
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Thinking (reasoning models, when applicable)Input processing
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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
Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better
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Outputting time'Thinking' time (reasoning models)Input processing time
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End-to-End Response Time
Model Performance Representation
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Comparison between total model parameters and parameters active during inference
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Passive ParametersActive Parameters
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Total Parameters
Active Parameters at Inference Time