| Signal | Falcon Mamba 7B Instruct | Delta | QwQ 32B |
|---|---|---|---|
Capabilities | 17 | -33 | |
Pricing | 100 | +1 | |
Context window size | 72 | -9 | |
Recency | 22 | -37 | |
Output Capacity | 65 | -20 | |
Benchmarks | 0 | -36 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
39.1
current score
QwQ 32B
right now
39.7
current score
TII
Alibaba
Falcon Mamba 7B Instruct saves you $44.00/month
That's $528.00/year compared to QwQ 32B at your current usage level of 100K calls/month.
| Metric | Falcon Mamba 7B Instruct | QwQ 32B | Winner |
|---|---|---|---|
| Overall Score | 39 | 40 | QwQ 32B |
| Rank | #305 | #304 | QwQ 32B |
| Quality Rank | #305 | #304 | QwQ 32B |
| Adoption Rank | #305 | #304 | QwQ 32B |
| Parameters | 7B | 32B | -- |
| Context Window | 33K | 131K | QwQ 32B |
| Pricing | Free | $0.15/$0.58/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 50 | QwQ 32B |
| Pricing | 100 | 99 | Falcon Mamba 7B Instruct |
| Context window size | 72 | 81 | QwQ 32B |
| Recency | 22 | 60 | QwQ 32B |
| Output Capacity | 65 | 85 | QwQ 32B |
| Benchmarks | -- | 36 | 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%). Learn more about our methodology.
Scores 39/100 (rank #305), placing it in the top -5% of all 290 models tracked.
Scores 40/100 (rank #304), placing it in the top -4% 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.
Compare the cost per quality point to find the best value for your specific workload.
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. Falcon Mamba 7B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
Falcon Mamba 7B Instruct and QwQ 32B are extremely close in overall performance (only 0.6000000000000014 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Falcon Mamba 7B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Falcon Mamba 7B Instruct
100% lower pricing; better value at scale
Best for Reliability
Falcon Mamba 7B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Falcon Mamba 7B Instruct
Stronger community support and better developer experience
Best for Production
Falcon Mamba 7B Instruct
Wider enterprise adoption and proven at scale
by TII
| Capability | Falcon Mamba 7B Instruct | QwQ 32B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
TII
Alibaba
Falcon Mamba 7B Instruct saves you $0.9660/month
That's 100% cheaper than QwQ 32B 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 | Falcon Mamba 7B Instruct | QwQ 32B |
|---|---|---|
| Context Window | 33K | 131K |
| Max Output Tokens | 8,192 | 131,072 |
| Open Source | Yes | Yes |
| Created | Aug 12, 2024 | Mar 5, 2025 |