Command A Translate vs Jamba Large vs GPT-5-Codex
GPT-5-Codex comes out ahead, 42 to 30 and 17 on our weighted score, and it is the cheaper option too.
CohereCommand A Translate
17/100- ECI—
- Price$2.50 / $10.00
- Context8K
AI21 LabsJamba Large
30/100- ECI—
- Price$2.00 / $8.00
- Context256K
- Our pick
OpenAIGPT-5-Codex
42/100- ECI—
- Price$1.25 / $10.00
- Context400K
GPT-5-Codex is our pick
GPT-5-Codex is the better all-round choice, scoring 42/100 against Jamba Large (30) and Command A Translate (17). It leads 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 priceGPT-5-CodexGPT-5-Codex $3.44 · Jamba Large $3.50 · Command A Translate $4.38 per 1M tokens (3:1 blend)
- Longest contextGPT-5-CodexGPT-5-Codex 400,000 · Jamba Large 256,000 · Command A Translate 8,000 tokens
- Widest inputsGPT-5-CodexCommand A Translate: Text · Jamba Large: Text · GPT-5-Codex: Text, Images
- Self-hostingCommand A Translate and Jamba LargePublishes downloadable weights
| Measure | Weight | Command A Translate | Jamba Large | GPT-5-Codex |
|---|---|---|---|---|
| Price | 50% | 19 | 24 | 24 |
| Inputs & features | 30% | 25 | 35 | 70 |
| Context window | 20% | 0 | 36 | 44 |
| Overall | 100% | 17/100 | 30/100 | 42/100 |
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 | Command A TranslateCohere | Jamba LargeAI21 Labs | GPT-5-CodexOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.50 | $2.00 | $1.25 (best) |
| Output | $10.00 | $8.00 (best) | $10.00 |
| Cached input | — | — | — |
| Blended (3:1) | $4.38 | $3.50 | $3.44 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Official AI21 Labs API | Median of 3 providers |
| Limits | |||
| Context window | 8,000 tokens | 256,000 tokens | 400,000 tokens (best) |
| Max output | 8,000 tokens | 4,096 tokens | 128,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | command-a-translate-08-2025 | jamba-large | — |
| API providers | 1 | 1 | 3 (best) |
| Released | Aug 28, 2025 | Jul 1, 2025 | Sep 15, 2025 |
| Knowledge cutoff | Jun 1, 2024 | Aug 22, 2024 | Sep 30, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Command A Translate$45.00
- Jamba Large$36.00
- GPT-5-Codex$32.50
Which should you choose?
Which is better: Command A Translate, Jamba Large or GPT-5-Codex?
GPT-5-Codex is the better all-round choice, scoring 42/100 against Jamba Large (30) and Command A Translate (17). It leads 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, Command A Translate, Jamba Large or GPT-5-Codex?
GPT-5-Codex is cheaper at $1.25 input / $10.00 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); Command A Translate costs $2.50 input / $10.00 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $3.44 per million tokens for GPT-5-Codex versus $3.50 for Jamba Large (1× as much) and $4.38 for Command A Translate (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Command A Translate has not been scored yet, Jamba Large has not been scored yet and GPT-5-Codex has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command A Translate, Jamba Large and GPT-5-Codex yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
GPT-5-Codex has the largest context window at 400,000 tokens, against 256,000 for Jamba Large and 8,000 for Command A Translate. Maximum output per response: Command A Translate up to 8,000, Jamba Large up to 4,096, GPT-5-Codex up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Command A Translate accepts text; Jamba Large accepts text; GPT-5-Codex accepts text and images. GPT-5-Codex handles the widest range of inputs.
Are any of these open source?
Command A Translate and Jamba Large publishes its weights and can be self-hosted; GPT-5-Codex is proprietary.
Which is newer?
GPT-5-Codex is the newest, released Sep 15, 2025. Command A Translate came out Aug 28, 2025; Jamba Large came out Jul 1, 2025. Knowledge cutoff: Command A Translate Jun 1, 2024, Jamba Large Aug 22, 2024, GPT-5-Codex Sep 30, 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.
