GPT-5 Chat vs Jamba Large vs Qwen3 Coder Plus
Too close to call on our weighted score (Qwen3 Coder Plus 37, GPT-5 Chat 34, Jamba Large 30). The right pick depends on what you value most.
OpenAIGPT-5 Chat
34/100- ECI—
- Price$1.25 / $10.00
- Context400K
AI21 LabsJamba Large
30/100- ECI—
- Price$2.00 / $8.00
- Context256K
Alibaba (Qwen)Qwen3 Coder Plus
37/100- ECI—
- Price$1.00 / $5.00
- Context1.05M
Too close to call
It is close. Our weighted score puts them within 3 points (Qwen3 Coder Plus 37/100, GPT-5 Chat 34/100, Jamba Large 30/100), so choose by what matters most for your work: Qwen3 Coder Plus on price and Qwen3 Coder Plus 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 priceQwen3 Coder PlusQwen3 Coder Plus $2.00 · GPT-5 Chat $3.44 · Jamba Large $3.50 per 1M tokens (3:1 blend)
- Longest contextQwen3 Coder PlusQwen3 Coder Plus 1,048,576 · GPT-5 Chat 400,000 · Jamba Large 256,000 tokens
- Widest inputsGPT-5 ChatGPT-5 Chat: Text, Images · Jamba Large: Text · Qwen3 Coder Plus: Text
- Self-hostingJamba LargePublishes downloadable weights
| Measure | Weight | GPT-5 Chat | Jamba Large | Qwen3 Coder Plus |
|---|---|---|---|---|
| Price | 50% | 24 | 24 | 36 |
| Inputs & features | 30% | 45 | 35 | 25 |
| Context window | 20% | 44 | 36 | 61 |
| Overall | 100% | 34/100 | 30/100 | 37/100 |
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 LargeAI21 Labs | Qwen3 Coder PlusAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 | $2.00 | $1.00 (best) |
| Output | $10.00 | $8.00 | $5.00 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $3.44 | $3.50 | $2.00 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official AI21 Labs API | Official Alibaba API |
| Limits | |||
| Context window | 400,000 tokens | 256,000 tokens | 1,048,576 tokens (best) |
| Max output | 128,000 tokens (best) | 4,096 tokens | 65,536 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 | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | — | jamba-large | qwen3-coder-plus |
| API providers | 2 | 1 | 11 (best) |
| Released | Aug 7, 2025 | Jul 1, 2025 | Jul 23, 2025 |
| Knowledge cutoff | Sep 30, 2024 | Aug 22, 2024 | Apr 2025 |
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 Large$36.00
- Qwen3 Coder Plus$20.00
Which should you choose?
Which is better: GPT-5 Chat, Jamba Large or Qwen3 Coder Plus?
It is close. Our weighted score puts them within 3 points (Qwen3 Coder Plus 37/100, GPT-5 Chat 34/100, Jamba Large 30/100), so choose by what matters most for your work: Qwen3 Coder Plus on price and Qwen3 Coder Plus 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, GPT-5 Chat, Jamba Large or Qwen3 Coder Plus?
Qwen3 Coder Plus is cheaper at $1.00 input / $5.00 output per million tokens (official Alibaba 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 $2.00 per million tokens for Qwen3 Coder Plus versus $3.44 for GPT-5 Chat (1.7× as much) and $3.50 for Jamba Large (1.8× 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 Large has not been scored yet and Qwen3 Coder Plus has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5 Chat, Jamba Large and Qwen3 Coder Plus 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?
Qwen3 Coder Plus has the largest context window at 1,048,576 tokens, against 400,000 for GPT-5 Chat and 256,000 for Jamba Large. Maximum output per response: GPT-5 Chat up to 128,000, Jamba Large up to 4,096, Qwen3 Coder Plus up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GPT-5 Chat accepts text and images; Jamba Large accepts text; Qwen3 Coder Plus accepts text. GPT-5 Chat handles the widest range of inputs.
Are any of these open source?
Jamba Large publishes its weights and can be self-hosted; GPT-5 Chat and Qwen3 Coder Plus is proprietary.
Which is newer?
GPT-5 Chat is the newest, released Aug 7, 2025. Qwen3 Coder Plus came out Jul 23, 2025; Jamba Large came out Jul 1, 2025. Knowledge cutoff: GPT-5 Chat Sep 30, 2024, Jamba Large Aug 22, 2024, Qwen3 Coder Plus Apr 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 Oct 4, 2026.
