Jamba Large vs Apertus 70B
Too close to call on our weighted score (Apertus 70B 32, Jamba Large 29). The right pick depends on what you value most.
AI21 LabsJamba Large
29/100- ECI—
- Price$2.00 / $8.00
- Context256K
Swiss AI
Apertus 70B
32/100- ECI—
- Price$0.82 / $2.42
- Context66K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 3 points (Apertus 70B 32/100, Jamba Large 29/100), so choose by what matters most for your work: Apertus 70B on price and Jamba Large for long inputs. 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 priceApertus 70BApertus 70B $1.22 · Jamba Large $3.50 per 1M tokens (3:1 blend)
- Longest contextJamba LargeJamba Large 256,000 · Apertus 70B 65,536 tokens
- Widest inputsSame inputsJamba Large: Text · Apertus 70B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Jamba Large | Apertus 70B |
|---|---|---|---|
| Price | 50% | 23 | 44 |
| Inputs & features | 30% | 35 | 25 |
| Context window | 20% | 36 | 12 |
| Overall | 100% | 29/100 | 32/100 |
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 | Jamba LargeAI21 Labs | Apertus 70BSwiss AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $2.00 | $0.82 (best) |
| Output | $8.00 | $2.42 (best) |
| Cached input | — | — |
| Blended (3:1) | $3.50 | $1.22 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official AI21 Labs API | Median of 3 providers |
| Limits | ||
| Context window | 256,000 tokens (best) | 65,536 tokens |
| Max output | 4,096 tokens | 8,192 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Open | OpenApache-2.0 |
| API model ID | jamba-large | — |
| API providers | 1 | 3 (best) |
| Released | Jul 3, 2025 | Sep 2, 2025 |
| Knowledge cutoff | Aug 22, 2024 | Sep 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Jamba Large$36.00
- Apertus 70B$13.04
Which should you choose?
Which is better: Jamba Large or Apertus 70B?
It is close. Our weighted score puts them within 3 points (Apertus 70B 32/100, Jamba Large 29/100), so choose by what matters most for your work: Apertus 70B on price and Jamba Large for long inputs. 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, Jamba Large or Apertus 70B?
Apertus 70B is cheaper at $0.82 input / $2.42 output per million tokens (median across 3 API providers). Jamba Large costs $2.00 input / $8.00 output per million tokens (official AI21 Labs API price). At a typical mix of three input tokens to one output token, that is $1.22 per million tokens for Apertus 70B versus $3.50 for Jamba Large (2.9× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Jamba Large has not been scored yet and Apertus 70B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Jamba Large and Apertus 70B 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?
Jamba Large has the largest context window at 256,000 tokens, against 65,536 for Apertus 70B. Maximum output per response: Jamba Large up to 4,096, Apertus 70B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Jamba Large accepts text; Apertus 70B accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (Apache-2.0), so you can self-host them.
Which is newer?
Apertus 70B is the newest, released Sep 2, 2025. Jamba Large came out Jul 3, 2025. Knowledge cutoff: Jamba Large Aug 22, 2024, Apertus 70B Sep 2025.
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 Nov 2, 2026.
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