| Signal | Jamba Large 1.7 | Delta | Nemotron Nano 9B V2 (free) |
|---|---|---|---|
Capabilities | 50 | -17 | |
Pricing | 92 | -8 | |
Context window size | 77 | +4 | |
Recency | 75 | -5 | |
Output Capacity | 60 | +40 | |
| Overall Result | 2 wins | of 5 | 3 wins |
Score History
40
current score
Tied
right now
40
current score
AI21 Labs
NVIDIA
Nemotron Nano 9B V2 (free) saves you $600.00/month
That's $7200.00/year compared to Jamba Large 1.7 at your current usage level of 100K calls/month.
| Metric | Jamba Large 1.7 | Nemotron Nano 9B V2 (free) | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #248 | #246 | Nemotron Nano 9B V2 (free) |
| Quality Rank | #248 | #246 | Nemotron Nano 9B V2 (free) |
| Adoption Rank | #248 | #246 | Nemotron Nano 9B V2 (free) |
| Parameters | -- | 9B | -- |
| Context Window | 256K | 128K | Jamba Large 1.7 |
| Pricing | $2.00/$8.00/M | Free | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Nemotron Nano 9B V2 (free) |
| Pricing | 92 | 100 | Nemotron Nano 9B V2 (free) |
| Context window size | 77 | 73 | Jamba Large 1.7 |
| Recency | 75 | 80 | Nemotron Nano 9B V2 (free) |
| Output Capacity | 60 | 20 | Jamba Large 1.7 |
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 #248), placing it in the top 15% of all 290 models tracked.
Scores 40/100 (rank #246), placing it in the top 16% 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.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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. Nemotron Nano 9B V2 (free) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (256K 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
Jamba Large 1.7 and Nemotron Nano 9B V2 (free) are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Jamba Large 1.7
Marginally better benchmark scores; both are excellent
Best for Cost
Nemotron Nano 9B V2 (free)
100% lower pricing; better value at scale
Best for Reliability
Jamba Large 1.7
Higher uptime and faster response speeds
Best for Prototyping
Jamba Large 1.7
Stronger community support and better developer experience
Best for Production
Jamba Large 1.7
Wider enterprise adoption and proven at scale
by AI21 Labs
| Capability | Jamba Large 1.7 | Nemotron Nano 9B V2 (free) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
AI21 Labs
NVIDIA
Nemotron Nano 9B V2 (free) saves you $13.20/month
That's 100% cheaper than Jamba Large 1.7 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 | Jamba Large 1.7 | Nemotron Nano 9B V2 (free) |
|---|---|---|
| Context Window | 256K | 128K |
| Max Output Tokens | 4,096 | -- |
| Open Source | Yes | Yes |
| Created | Aug 8, 2025 | Sep 5, 2025 |