Jamba Large vs Morph V3 Fast vs Qwen MT Plus
Too close to call on our weighted score (Morph V3 Fast 32, Jamba Large 29, Qwen MT Plus 11). The right pick depends on what you value most.
AI21 Labs
Jamba Large
29/100- ECI—
- Price$2.00 / $8.00
- Context256K
Morph
Morph V3 Fast
32/100- ECI—
- Price$0.80 / $1.20
- Context262K
Alibaba (Qwen)
Qwen MT Plus
11/100- ECI—
- Price$2.46 / $7.37
- Context16K
Too close to call
It is close. Our weighted score puts them within 3 points (Morph V3 Fast 32/100, Jamba Large 29/100, Qwen MT Plus 11/100), 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 · Qwen MT Plus $3.69 per 1M tokens (3:1 blend)
- Longest contextMorph V3 FastMorph V3 Fast 262,144 · Jamba Large 256,000 · Qwen MT Plus 16,384 tokens
- Widest inputsSame inputsJamba Large: Text · Morph V3 Fast: Text · Qwen MT Plus: Text
- Self-hostingJamba LargePublishes downloadable weights
| Measure | Weight | Jamba Large | Morph V3 Fast | Qwen MT Plus |
|---|---|---|---|---|
| Price | 50% | 23 | 50 | 22 |
| Inputs & features | 30% | 35 | 0 | 0 |
| Context window | 20% | 36 | 37 | 0 |
| Overall | 100% | 29/100 | 32/100 | 11/100 |
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 | Morph V3 FastMorph | ||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.00 | $0.80 (best) | $2.46 |
| Output | $8.00 | $1.20 (best) | $7.37 |
| Cached input | — | — | — |
| Blended (3:1) | $3.50 | $0.90 (best) | $3.69 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official AI21 Labs API | Median of 5 providers | Official Alibaba API |
| Limits | |||
| Context window | 256,000 tokens | 262,144 tokens (best) | 16,384 tokens |
| Max output | 4,096 tokens | 131,072 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | No | No |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | jamba-large | — | qwen-mt-plus |
| API providers | 1 | 5 (best) | 3 |
| Released | Jul 3, 2025 | Jul 7, 2025 | Jul 24, 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
Qwen MT Plus$39.34
Which should you choose?
Which is better: Jamba Large, Morph V3 Fast or Qwen MT Plus?
It is close. Our weighted score puts them within 3 points (Morph V3 Fast 32/100, Jamba Large 29/100, Qwen MT Plus 11/100), 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, Morph V3 Fast or Qwen MT Plus?
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); Qwen MT Plus costs $2.46 input / $7.37 output per million tokens (official Alibaba 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) and $3.69 for Qwen MT Plus (4.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Jamba Large has not been scored yet, Morph V3 Fast has not been scored yet and Qwen MT Plus has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Jamba Large, Morph V3 Fast and Qwen MT Plus yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Morph V3 Fast and Qwen MT Plus 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 and 16,384 for Qwen MT Plus. Maximum output per response: Jamba Large up to 4,096, Morph V3 Fast up to 131,072, Qwen MT Plus up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Jamba Large accepts text; Morph V3 Fast accepts text; Qwen MT Plus 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 and Qwen MT Plus is proprietary.
Which is newer?
Qwen MT Plus is the newest, released Jul 24, 2025. Morph V3 Fast came out 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.