Model Comparison
QwQ 32B-Preview
vs. Reka Flash (Sep '24)
Comparing 2 AI models · 7 benchmarks · Alibaba, Reka AI
Recommended Pick
Al QwQ 32B-Preview 7 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
QwQ 32B-Preview
$0.00/1M input price
Best Reasoning
QwQ 32B-Preview
42.4 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
QwQ 32B-Preview is ∞x cheaper on input tokens than Reka Flash (Sep '24).
Reasoning gap
QwQ 32B-Preview leads Reka Flash (Sep '24) by 10.0 points on reasoning.
Top-pick rationale
QwQ 32B-Preview wins 7 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
QwQ 32B-Preview
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Cost
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Reka Flash (Sep '24)
Reka AI
TTFT
—
Time
—
tok/s
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Tokens
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Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Al QwQ 32B-Preview | Re Reka Flash (Sep '24) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.20/1M |
| Output Cost | $0.00/1M | $0.80/1M |
| Blended (3:1) | — | $0.35/1M |
| Specifications | ||
| Organization | Alibaba | Reka AI |
| Release Date | Nov 27, 2024 | Oct 4, 2024 |
| Performance & Speed | ||
| Throughput | — | 85.9 tok/s |
| TTFT | — | 1779ms |
| Latency | — | 1779ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 42.4 | 32.4 |
| Intelligence | 15.2 | 12.0 |
| Standard Benchmarks | ||
| GPQA | 55.7% | — |
| MMLU Pro | 64.8% | — |
| HLE | 4.8% | — |
| LiveCodeBench | 33.7% | — |
| MATH 500 | 91.0% | 52.9% |
| AIME (Original) | 45.3% | — |
| SciCode | 3.8% | — |
Key Takeaways
QwQ 32B-Preview offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
QwQ 32B-Preview has the strongest reasoning profile with a 42.4 reasoning score, combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
QwQ 32B-Preview
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Reka Flash (Sep '24)
- General-purpose AI
- Versatile applications
