GPT-5 Chat vs Jamba Mini vs Jamba Large
Jamba Mini comes out ahead, 57 to 34 and 30 on our weighted score, and it is the cheaper option too.
OpenAIGPT-5 Chat
34/100- ECI—
- Price$1.25 / $10.00
- Context400K
- Our pick
AI21 LabsJamba Mini
57/100- ECI—
- Price$0.20 / $0.40
- Context256K
- AI21 Labs
Jamba Large
30/100- ECI—
- Price$2.00 / $8.00
- Context256K
Jamba Mini is our pick
Jamba Mini is the better all-round choice, scoring 57/100 against GPT-5 Chat (34) and Jamba Large (30). It leads on price. GPT-5 Chat wins on inputs & features and context window. 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 MiniJamba Mini $0.25 · GPT-5 Chat $3.44 · Jamba Large $3.50 per 1M tokens (3:1 blend)
- Longest contextGPT-5 ChatGPT-5 Chat 400,000 · Jamba Mini 256,000 · Jamba Large 256,000 tokens
- Widest inputsGPT-5 ChatGPT-5 Chat: Text, Images · Jamba Mini: Text · Jamba Large: Text
- Self-hostingJamba Mini and Jamba LargePublishes downloadable weights
| Measure | Weight | GPT-5 Chat | Jamba Mini | Jamba Large |
|---|---|---|---|---|
| Price | 50% | 24 | 78 | 24 |
| Inputs & features | 30% | 45 | 35 | 35 |
| Context window | 20% | 44 | 36 | 36 |
| Overall | 100% | 34/100 | 57/100 | 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 | GPT-5 ChatOpenAI | Jamba MiniAI21 Labs | Jamba LargeAI21 Labs |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 | $0.20 (best) | $2.00 |
| Output | $10.00 | $0.40 (best) | $8.00 |
| Cached input | — | — | — |
| Blended (3:1) | $3.44 | $0.25 (best) | $3.50 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official AI21 Labs API | Official AI21 Labs API |
| Limits | |||
| Context window | 400,000 tokens (best) | 256,000 tokens | 256,000 tokens |
| Max output | 128,000 tokens (best) | 4,096 tokens | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | No | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | — | jamba-mini | jamba-large |
| API providers | 2 (best) | 1 | 1 |
| Released | Aug 7, 2025 | Jan 1, 2026 | Jul 1, 2025 |
| Knowledge cutoff | Sep 30, 2024 | Aug 22, 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.
- GPT-5 Chat$32.50
- Jamba Mini$2.80
- Jamba Large$36.00
Which should you choose?
Which is better: GPT-5 Chat, Jamba Mini or Jamba Large?
Jamba Mini is the better all-round choice, scoring 57/100 against GPT-5 Chat (34) and Jamba Large (30). It leads on price. GPT-5 Chat wins on inputs & features and context window. 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, GPT-5 Chat, Jamba Mini or Jamba Large?
Jamba Mini is cheaper at $0.20 input / $0.40 output per million tokens (official AI21 Labs API price). GPT-5 Chat costs $1.25 input / $10.00 output per million tokens (median across 2 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 $0.25 per million tokens for Jamba Mini versus $3.44 for GPT-5 Chat (14× as much) and $3.50 for Jamba Large (14× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GPT-5 Chat has not been scored yet, Jamba Mini 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 GPT-5 Chat, Jamba Mini and Jamba Large yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that GPT-5 Chat does not support tool calling, which most coding agents need.
Which has the bigger context window?
GPT-5 Chat has the largest context window at 400,000 tokens, against 256,000 for Jamba Mini and 256,000 for Jamba Large. Maximum output per response: GPT-5 Chat up to 128,000, Jamba Mini up to 4,096, Jamba Large up to 4,096 tokens.
Which can read images, PDFs, audio or video?
GPT-5 Chat accepts text and images; Jamba Mini accepts text; Jamba Large accepts text. GPT-5 Chat handles the widest range of inputs.
Are any of these open source?
Jamba Mini and Jamba Large publishes its weights and can be self-hosted; GPT-5 Chat is proprietary.
Which is newer?
Jamba Mini is the newest, released Jan 1, 2026. GPT-5 Chat came out Aug 7, 2025; Jamba Large came out Jul 1, 2025. Knowledge cutoff: GPT-5 Chat Sep 30, 2024, Jamba Mini Aug 22, 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.
