| Signal | ALLaM 1 13B Instruct | Delta | R1 Distill Qwen 32B |
|---|---|---|---|
Capabilities | 17 | -33 | |
Pricing | 98 | -1 | |
Context window size | 52 | -21 | |
Recency | 34 | -11 | |
Output Capacity | 60 | -15 | |
Benchmarks | 0 | -35 | |
| Overall Result | 0 wins | of 6 | 6 wins |
Score History
36.4
current score
R1 Distill Qwen 32B
right now
37.4
current score
HUMAIN
DeepSeek
R1 Distill Qwen 32B saves you $226.50/month
That's $2718.00/year compared to ALLaM 1 13B Instruct at your current usage level of 100K calls/month.
| Metric | ALLaM 1 13B Instruct | R1 Distill Qwen 32B | Winner |
|---|---|---|---|
| Overall Score | 36 | 37 | R1 Distill Qwen 32B |
| Rank | #316 | #315 | R1 Distill Qwen 32B |
| Quality Rank | #316 | #315 | R1 Distill Qwen 32B |
| Adoption Rank | #316 | #315 | R1 Distill Qwen 32B |
| Parameters | 13B | 32B | -- |
| Context Window | 4K | 128K | R1 Distill Qwen 32B |
| Pricing | $1.80/$1.80/M | $0.29/$0.29/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 50 | R1 Distill Qwen 32B |
| Pricing | 98 | 100 | R1 Distill Qwen 32B |
| Context window size | 52 | 73 | R1 Distill Qwen 32B |
| Recency | 34 | 45 | R1 Distill Qwen 32B |
| Output Capacity | 60 | 75 | R1 Distill Qwen 32B |
| Benchmarks | -- | 35 | R1 Distill Qwen 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 36/100 (rank #316), placing it in the top -9% of all 290 models tracked.
Scores 37/100 (rank #315), placing it in the top -8% 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.
R1 Distill Qwen 32B offers 84% better value per quality point. At 1M tokens/day, you'd spend $8.70/month with R1 Distill Qwen 32B vs $54.00/month with ALLaM 1 13B Instruct - a $45.30 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. R1 Distill Qwen 32B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (128K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.29/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (37/100) correlates with better nuance, coherence, and style in long-form content
ALLaM 1 13B Instruct and R1 Distill Qwen 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
ALLaM 1 13B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
R1 Distill Qwen 32B
84% lower pricing; better value at scale
Best for Reliability
ALLaM 1 13B Instruct
Higher uptime and faster response speeds
Best for Prototyping
ALLaM 1 13B Instruct
Stronger community support and better developer experience
Best for Production
ALLaM 1 13B Instruct
Wider enterprise adoption and proven at scale
by HUMAIN
| Capability | ALLaM 1 13B Instruct | R1 Distill Qwen 32B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
HUMAIN
DeepSeek
R1 Distill Qwen 32B saves you $4.53/month
That's 84% cheaper than ALLaM 1 13B Instruct 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 | ALLaM 1 13B Instruct | R1 Distill Qwen 32B |
|---|---|---|
| Context Window | 4K | 128K |
| Max Output Tokens | 4,096 | 32,768 |
| Open Source | No | Yes |
| Created | Dec 1, 2024 | Jan 29, 2025 |