| Signal | ALLaM 1 13B Instruct | Delta | Qwen3.5-Flash |
|---|---|---|---|
Capabilities | 17 | -67 | |
Pricing | 98 | -1 | |
Context window size | 57 | -38 | |
Recency | 43 | -57 | |
Output Capacity | 60 | -20 | |
Benchmarks | 0 | -67 | |
| Overall Result | 0 wins | of 6 | 6 wins |
Score History
39.9
current score
Qwen3.5-Flash
right now
68.9
current score
HUMAIN
Alibaba
Qwen3.5-Flash saves you $250.50/month
That's $3006.00/year compared to ALLaM 1 13B Instruct at your current usage level of 100K calls/month.
| Metric | ALLaM 1 13B Instruct | Qwen3.5-Flash | Winner |
|---|---|---|---|
| Overall Score | 40 | 69 | Qwen3.5-Flash |
| Rank | #302 | #100 | Qwen3.5-Flash |
| Quality Rank | #302 | #100 | Qwen3.5-Flash |
| Adoption Rank | #302 | #100 | Qwen3.5-Flash |
| Parameters | 13B | -- | -- |
| Context Window | 4K | 1000K | Qwen3.5-Flash |
| Pricing | $1.80/$1.80/M | $0.07/$0.26/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 83 | Qwen3.5-Flash |
| Pricing | 98 | 100 | Qwen3.5-Flash |
| Context window size | 57 | 95 | Qwen3.5-Flash |
| Recency | 43 | 100 | Qwen3.5-Flash |
| Output Capacity | 60 | 80 | Qwen3.5-Flash |
| Benchmarks | -- | 67 | Qwen3.5-Flash |
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 40/100 (rank #302), placing it in the top -4% of all 290 models tracked.
Scores 69/100 (rank #100), placing it in the top 66% of all 290 models tracked.
Qwen3.5-Flash has a 29-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5-Flash offers 91% better value per quality point. At 1M tokens/day, you'd spend $4.88/month with Qwen3.5-Flash vs $54.00/month with ALLaM 1 13B Instruct - a $49.13 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. Qwen3.5-Flash also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.26/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (69/100) 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
Qwen3.5-Flash clearly outperforms ALLaM 1 13B Instruct with a significant 29.000000000000007-point lead. For most general use cases, Qwen3.5-Flash is the stronger choice. However, ALLaM 1 13B Instruct may still excel in niche scenarios.
Best for Quality
ALLaM 1 13B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-Flash
91% 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 | Qwen3.5-Flash |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
HUMAIN
Alibaba
Qwen3.5-Flash saves you $4.97/month
That's 92% 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 | Qwen3.5-Flash |
|---|---|---|
| Context Window | 4K | 1M |
| Max Output Tokens | 4,096 | 65,536 |
| Open Source | No | No |
| Created | Dec 1, 2024 | Feb 25, 2026 |