| Signal | Qwen3 Max | Delta | Step 3.5 Flash |
|---|---|---|---|
Capabilities | 50 | -17 | |
Pricing | 4 | +4 | |
Context window size | 86 | -- | |
Recency | 98 | -2 | |
Output Capacity | 75 | -5 | |
Benchmarks | 0 | -66 | |
| Overall Result | 1 wins | of 6 | 4 wins |
0
days higher
0
days
30
days higher
Alibaba
StepFun
Step 3.5 Flash saves you $248.00/month
That's $2976.00/year compared to Qwen3 Max at your current usage level of 100K calls/month.
| Metric | Qwen3 Max | Step 3.5 Flash | Winner |
|---|---|---|---|
| Overall Score | 40 | 67 | Step 3.5 Flash |
| Rank | #192 | #75 | Step 3.5 Flash |
| Quality Rank | #192 | #75 | Step 3.5 Flash |
| Adoption Rank | #192 | #75 | Step 3.5 Flash |
| Parameters | -- | -- | -- |
| Context Window | 262K | 262K | -- |
| Pricing | $0.78/$3.90/M | $0.10/$0.30/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Step 3.5 Flash |
| Pricing | 4 | 0 | Qwen3 Max |
| Context window size | 86 | 86 | Qwen3 Max |
| Recency | 98 | 100 | Step 3.5 Flash |
| Output Capacity | 75 | 80 | Step 3.5 Flash |
| Benchmarks | -- | 66 | Step 3.5 Flash |
Our score (0-100) is driven by benchmark performance (90%) from LMArena Elo, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Here's what the scores mean for these two models:
Scores 40/100 (rank #192), placing it in the top 34% of all 290 models tracked.
Scores 67/100 (rank #75), placing it in the top 74% of all 290 models tracked.
Step 3.5 Flash has a 27-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Step 3.5 Flash offers 91% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Step 3.5 Flash vs $70.20/month with Qwen3 Max - a $64.20 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Step 3.5 Flash also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (67/100) correlates with better nuance, coherence, and style in long-form content
Step 3.5 Flash clearly outperforms Qwen3 Max with a significant 26.700000000000003-point lead. For most general use cases, Step 3.5 Flash is the stronger choice. However, Qwen3 Max may still excel in niche scenarios.
Best for Quality
Qwen3 Max
Marginally better benchmark scores; both are excellent
Best for Cost
Step 3.5 Flash
91% lower pricing; better value at scale
Best for Reliability
Qwen3 Max
Higher uptime and faster response speeds
Best for Prototyping
Qwen3 Max
Stronger community support and better developer experience
Best for Production
Qwen3 Max
Wider enterprise adoption and proven at scale
by Alibaba
| Capability | Qwen3 Max | Step 3.5 Flash |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Alibaba
StepFun
Step 3.5 Flash saves you $5.54/month
That's 91% cheaper than Qwen3 Max at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Qwen3 Max | Step 3.5 Flash |
|---|---|---|
| Context Window | 262K | 262K |
| Max Output Tokens | 32,768 | 65,536 |
| Open Source | No | Yes |
| Created | Sep 23, 2025 | Jan 29, 2026 |
Step 3.5 Flash scores 67/100 (rank #75) compared to Qwen3 Max's 40/100 (rank #192), giving it a 27-point advantage. Step 3.5 Flash is the stronger overall choice, though Qwen3 Max may excel in specific areas like certain benchmarks.
Qwen3 Max is ranked #192 and Step 3.5 Flash is ranked #75 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from LMArena, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Step 3.5 Flash is cheaper at $0.30/M output tokens vs Qwen3 Max's $3.90/M output tokens - 13.0x more expensive. Input token pricing: Qwen3 Max at $0.78/M vs Step 3.5 Flash at $0.10/M.
Qwen3 Max has a larger context window of 262,144 tokens compared to Step 3.5 Flash's 262,144 tokens. A larger context window means the model can process longer documents and conversations.