Jamba Large vs Morph V3 Fast
Too close to call on our weighted score (Morph V3 Fast 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
Morph
Morph V3 Fast
32/100- ECI—
- Price$0.80 / $1.20
- Context262K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 3 points (Morph V3 Fast 32/100, Jamba Large 29/100), so choose by what matters most for your work: Morph V3 Fast on price and Morph V3 Fast 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 priceMorph V3 FastMorph V3 Fast $0.90 · Jamba Large $3.50 per 1M tokens (3:1 blend)
- Longest contextMorph V3 FastMorph V3 Fast 262,144 · Jamba Large 256,000 tokens
- Widest inputsSame inputsJamba Large: Text · Morph V3 Fast: Text
- Self-hostingJamba LargePublishes downloadable weights
| Measure | Weight | Jamba Large | Morph V3 Fast |
|---|---|---|---|
| Price | 50% | 23 | 50 |
| Inputs & features | 30% | 35 | 0 |
| Context window | 20% | 36 | 37 |
| 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 | Morph V3 FastMorph |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $2.00 | $0.80 (best) |
| Output | $8.00 | $1.20 (best) |
| Cached input | — | — |
| Blended (3:1) | $3.50 | $0.90 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official AI21 Labs API | Median of 5 providers |
| Limits | ||
| Context window | 256,000 tokens | 262,144 tokens (best) |
| Max output | 4,096 tokens | 131,072 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 | No |
| Structured output | Yes | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | jamba-large | — |
| API providers | 1 | 5 (best) |
| Released | Jul 3, 2025 | Jul 7, 2025 |
| Knowledge cutoff | 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.
- Jamba Large$36.00
- Morph V3 Fast$10.40
Which should you choose?
Which is better: Jamba Large or Morph V3 Fast?
It is close. Our weighted score puts them within 3 points (Morph V3 Fast 32/100, Jamba Large 29/100), so choose by what matters most for your work: Morph V3 Fast on price and Morph V3 Fast 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 Morph V3 Fast?
Morph V3 Fast is cheaper at $0.80 input / $1.20 output per million tokens (median across 5 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 $0.90 per million tokens for Morph V3 Fast versus $3.50 for Jamba Large (3.9× 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 Morph V3 Fast has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Jamba Large and Morph V3 Fast yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Morph V3 Fast does not support tool calling, which most coding agents need.
Which has the bigger context window?
Morph V3 Fast has the largest context window at 262,144 tokens, against 256,000 for Jamba Large. Maximum output per response: Jamba Large up to 4,096, Morph V3 Fast up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Jamba Large accepts text; Morph V3 Fast accepts text. They handle the same number of input types.
Are any of these open source?
Jamba Large publishes its weights and can be self-hosted; Morph V3 Fast is proprietary.
Which is newer?
Morph V3 Fast is the newest, released Jul 7, 2025. Jamba Large came out Jul 3, 2025. Knowledge cutoff: 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 Nov 2, 2026.
