| Signal | ALLaM 7B Instruct (preview) | Delta | GPT-3.5 Turbo (older v0613) |
|---|---|---|---|
Capabilities | 17 | -33 | |
Pricing | 100 | +2 | |
Context window size | 52 | -- | |
Recency | 48 | +48 | |
Output Capacity | 60 | -- | |
| Overall Result | 2 wins | of 5 | 1 wins |
Score History
39.7
current score
ALLaM 7B Instruct (preview)
right now
39.4
current score
HUMAIN
OpenAI
ALLaM 7B Instruct (preview) saves you $200.00/month
That's $2400.00/year compared to GPT-3.5 Turbo (older v0613) at your current usage level of 100K calls/month.
| Metric | ALLaM 7B Instruct (preview) | GPT-3.5 Turbo (older v0613) | Winner |
|---|---|---|---|
| Overall Score | 40 | 39 | ALLaM 7B Instruct (preview) |
| Rank | #311 | #312 | ALLaM 7B Instruct (preview) |
| Quality Rank | #311 | #312 | ALLaM 7B Instruct (preview) |
| Adoption Rank | #311 | #312 | ALLaM 7B Instruct (preview) |
| Parameters | 7B | -- | -- |
| Context Window | 4K | 4K | ALLaM 7B Instruct (preview) |
| Pricing | Free | $1.00/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 50 | GPT-3.5 Turbo (older v0613) |
| Pricing | 100 | 98 | ALLaM 7B Instruct (preview) |
| Context window size | 52 | 52 | ALLaM 7B Instruct (preview) |
| Recency | 48 | 0 | ALLaM 7B Instruct (preview) |
| Output Capacity | 60 | 60 | ALLaM 7B Instruct (preview) |
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 #311), placing it in the top -7% of all 290 models tracked.
Scores 39/100 (rank #312), placing it in the top -7% of all 290 models tracked.
With only a 0-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
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. ALLaM 7B Instruct (preview) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (4K 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
ALLaM 7B Instruct (preview) and GPT-3.5 Turbo (older v0613) are extremely close in overall performance (only 0.30000000000000426 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
ALLaM 7B Instruct (preview)
Marginally better benchmark scores; both are excellent
Best for Cost
ALLaM 7B Instruct (preview)
100% lower pricing; better value at scale
Best for Reliability
ALLaM 7B Instruct (preview)
Higher uptime and faster response speeds
Best for Prototyping
ALLaM 7B Instruct (preview)
Stronger community support and better developer experience
Best for Production
ALLaM 7B Instruct (preview)
Wider enterprise adoption and proven at scale
by HUMAIN
| Capability | ALLaM 7B Instruct (preview) | GPT-3.5 Turbo (older v0613) |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
HUMAIN
OpenAI
ALLaM 7B Instruct (preview) saves you $4.20/month
That's 100% cheaper than GPT-3.5 Turbo (older v0613) 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 7B Instruct (preview) | GPT-3.5 Turbo (older v0613) |
|---|---|---|
| Context Window | 4K | 4K |
| Max Output Tokens | 4,096 | 4,096 |
| Open Source | Yes | No |
| Created | Feb 13, 2025 | Jan 25, 2024 |