| Signal | Claude 3.5 Haiku | Delta | QwQ 32B |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 62 | +4 | |
Pricing | 96 | -3 | |
Context window size | 84 | +3 | |
Recency | 39 | -22 | |
Output Capacity | 65 | -20 | |
| Overall Result | 3 wins | of 6 | 3 wins |
Score History
57.9
current score
QwQ 32B
right now
58.9
current score
Anthropic
Alibaba
QwQ 32B saves you $236.00/month
That's $2832.00/year compared to Claude 3.5 Haiku at your current usage level of 100K calls/month.
| Metric | Claude 3.5 Haiku | QwQ 32B | Winner |
|---|---|---|---|
| Overall Score | 58 | 59 | QwQ 32B |
| Rank | #102 | #100 | QwQ 32B |
| Quality Rank | #102 | #100 | QwQ 32B |
| Adoption Rank | #102 | #100 | QwQ 32B |
| Parameters | -- | 32B | -- |
| Context Window | 200K | 131K | Claude 3.5 Haiku |
| Pricing | $0.80/$4.00/M | $0.15/$0.58/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | Claude 3.5 Haiku |
| Benchmarks | 62 | 58 | Claude 3.5 Haiku |
| Pricing | 96 | 99 | QwQ 32B |
| Context window size | 84 | 81 | Claude 3.5 Haiku |
| Recency | 39 | 61 | QwQ 32B |
| Output Capacity | 65 | 85 | QwQ 32B |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, 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 58/100 (rank #102), placing it in the top 65% of all 290 models tracked.
Scores 59/100 (rank #100), placing it in the top 66% of all 290 models tracked.
With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
QwQ 32B offers 85% better value per quality point. At 1M tokens/day, you'd spend $10.95/month with QwQ 32B vs $72.00/month with Claude 3.5 Haiku - a $61.05 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. QwQ 32B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (200K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.58/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (59/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Claude 3.5 Haiku and QwQ 32B are extremely close in overall performance (only 1 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Claude 3.5 Haiku
Marginally better benchmark scores; both are excellent
Best for Cost
QwQ 32B
85% lower pricing; better value at scale
Best for Reliability
Claude 3.5 Haiku
Higher uptime and faster response speeds
Best for Prototyping
Claude 3.5 Haiku
Stronger community support and better developer experience
Best for Production
Claude 3.5 Haiku
Wider enterprise adoption and proven at scale
by Anthropic
| Capability | Claude 3.5 Haiku | QwQ 32B |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Anthropic
Alibaba
QwQ 32B saves you $5.27/month
That's 85% cheaper than Claude 3.5 Haiku 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 | Claude 3.5 Haiku | QwQ 32B |
|---|---|---|
| Context Window | 200K | 131K |
| Max Output Tokens | 8,192 | 131,072 |
| Open Source | No | Yes |
| Created | Nov 4, 2024 | Mar 5, 2025 |
QwQ 32B scores 59/100 (rank #100) compared to Claude 3.5 Haiku's 58/100 (rank #102), giving it a 1-point advantage. QwQ 32B is the stronger overall choice, though Claude 3.5 Haiku may excel in specific areas like certain benchmarks.
Claude 3.5 Haiku is ranked #102 and QwQ 32B is ranked #100 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
QwQ 32B is cheaper at $0.58/M output tokens vs Claude 3.5 Haiku's $4.00/M output tokens - 6.9x more expensive. Input token pricing: Claude 3.5 Haiku at $0.80/M vs QwQ 32B at $0.15/M.
Claude 3.5 Haiku has a larger context window of 200,000 tokens compared to QwQ 32B's 131,072 tokens. A larger context window means the model can process longer documents and conversations.