Nova Premier vs Jamba Large
Nova Premier comes out ahead, 41 to 30 on our weighted score, though Jamba Large is 30% cheaper per token.
- Our pick
AmazonNova Premier
41/100- ECI—
- Price$2.50 / $12.50
- Context1M
AI21 LabsJamba Large
30/100- ECI—
- Price$2.00 / $8.00
- Context256K
Add a model
Make it a three-way comparison.
Nova Premier is our pick
Nova Premier is the better all-round choice, scoring 41/100 against Jamba Large (30). It leads on inputs & features and context window. Jamba Large wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceJamba LargeJamba Large $3.50 · Nova Premier $5.00 per 1M tokens (3:1 blend)
- Longest contextNova PremierNova Premier 1,000,000 · Jamba Large 256,000 tokens
- Widest inputsNova PremierNova Premier: Text, Images, PDFs, Video · Jamba Large: Text
- Self-hostingJamba LargePublishes downloadable weights
| Measure | Weight | Nova Premier | Jamba Large |
|---|---|---|---|
| Price | 50% | 17 | 24 |
| Inputs & features | 30% | 70 | 35 |
| Context window | 20% | 60 | 36 |
| Overall | 100% | 41/100 | 30/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Nova PremierAmazon | Jamba LargeAI21 Labs |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $2.50 | $2.00 (best) |
| Output | $12.50 | $8.00 (best) |
| Cached input | $0.625 | — |
| Blended (3:1) | $5.00 | $3.50 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Amazon Bedrock API | Official AI21 Labs API |
| Limits | ||
| Context window | 1,000,000 tokens (best) | 256,000 tokens |
| Max output | 10,000 tokens (best) | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | us.amazon.nova-premier-v1:0 | jamba-large |
| API providers | 1 | 1 |
| Released | Apr 30, 2025 | Jul 1, 2025 |
| Knowledge cutoff | Oct 2024 | Aug 22, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Nova Premier$50.00
- Jamba Large$36.00
Which should you choose?
Which is better: Nova Premier or Jamba Large?
Nova Premier is the better all-round choice, scoring 41/100 against Jamba Large (30). It leads on inputs & features and context window. Jamba Large wins on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Nova Premier or Jamba Large?
Jamba Large is cheaper at $2.00 input / $8.00 output per million tokens (official AI21 Labs API price). Nova Premier costs $2.50 input / $12.50 output per million tokens (official Amazon Bedrock API price). At a typical mix of three input tokens to one output token, that is $3.50 per million tokens for Jamba Large versus $5.00 for Nova Premier (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Nova Premier has not been scored yet and Jamba Large has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nova Premier and Jamba Large yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Nova Premier has the largest context window at 1,000,000 tokens, against 256,000 for Jamba Large. Maximum output per response: Nova Premier up to 10,000, Jamba Large up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Nova Premier accepts text, images, PDFs and video; Jamba Large accepts text. Nova Premier handles the widest range of inputs.
Are any of these open source?
Jamba Large publishes its weights and can be self-hosted; Nova Premier is proprietary.
Which is newer?
Jamba Large is the newest, released Jul 1, 2025. Nova Premier came out Apr 30, 2025. Knowledge cutoff: Nova Premier Oct 2024, Jamba Large Aug 22, 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
