| Signal | ALLaM 1 13B Instruct | Delta | Qwen2.5 7B Instruct |
|---|---|---|---|
Capabilities | 17 | -33 | |
Pricing | 98 | -2 | |
Context window size | 52 | -21 | |
Recency | 29 | +8 | |
Output Capacity | 60 | -15 | |
Benchmarks | 0 | -39 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
35
current score
Qwen2.5 7B Instruct
right now
38.2
current score
HUMAIN
Alibaba
Qwen2.5 7B Instruct saves you $261.00/month
That's $3132.00/year compared to ALLaM 1 13B Instruct at your current usage level of 100K calls/month.
| Metric | ALLaM 1 13B Instruct | Qwen2.5 7B Instruct | Winner |
|---|---|---|---|
| Overall Score | 35 | 38 | Qwen2.5 7B Instruct |
| Rank | #303 | #301 | Qwen2.5 7B Instruct |
| Quality Rank | #303 | #301 | Qwen2.5 7B Instruct |
| Adoption Rank | #303 | #301 | Qwen2.5 7B Instruct |
| Parameters | 13B | 7B | -- |
| Context Window | 4K | 131K | Qwen2.5 7B Instruct |
| Pricing | $1.80/$1.80/M | $0.04/$0.10/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 50 | Qwen2.5 7B Instruct |
| Pricing | 98 | 100 | Qwen2.5 7B Instruct |
| Context window size | 52 | 73 | Qwen2.5 7B Instruct |
| Recency | 29 | 21 | ALLaM 1 13B Instruct |
| Output Capacity | 60 | 75 | Qwen2.5 7B Instruct |
| Benchmarks | -- | 39 | Qwen2.5 7B Instruct |
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 35/100 (rank #303), placing it in the top -4% of all 290 models tracked.
Scores 38/100 (rank #301), placing it in the top -3% of all 290 models tracked.
With only a 3-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.
Qwen2.5 7B Instruct offers 96% better value per quality point. At 1M tokens/day, you'd spend $2.10/month with Qwen2.5 7B Instruct vs $54.00/month with ALLaM 1 13B Instruct - a $51.90 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. Qwen2.5 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 ($0.10/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (38/100) correlates with better nuance, coherence, and style in long-form content
Qwen2.5 7B Instruct has a moderate advantage with a 3.200000000000003-point lead in composite score. It wins on more signal dimensions, but ALLaM 1 13B Instruct has specific strengths that could make it the better choice for certain workflows.
Best for Quality
ALLaM 1 13B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen2.5 7B Instruct
96% 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 | Qwen2.5 7B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
HUMAIN
Alibaba
Qwen2.5 7B Instruct saves you $5.21/month
That's 96% 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 | Qwen2.5 7B Instruct |
|---|---|---|
| Context Window | 4K | 131K |
| Max Output Tokens | 4,096 | 32,768 |
| Open Source | No | Yes |
| Created | Dec 1, 2024 | Oct 16, 2024 |