Gemini 2.5 Computer Use Preview vs GPT-5.1 Codex Max vs Jamba Large
GPT-5.1 Codex Max comes out ahead, 42 to 35 and 30 on our weighted score.
GoogleGemini 2.5 Computer Use Preview
35/100- ECI—
- Price$1.25 / $10.00
- Context128K
- Our pick
OpenAIGPT-5.1 Codex Max
42/100- ECI—
- Price$1.25 / $10.00
- Context400K
AI21 LabsJamba Large
30/100- ECI—
- Price$2.00 / $8.00
- Context256K
GPT-5.1 Codex Max is our pick
GPT-5.1 Codex Max is the better all-round choice, scoring 42/100 against Gemini 2.5 Computer Use Preview (35) and Jamba Large (30). 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 priceGemini 2.5 Computer Use Preview and GPT-5.1 Codex MaxGemini 2.5 Computer Use Preview $3.44 · GPT-5.1 Codex Max $3.44 · Jamba Large $3.50 per 1M tokens (3:1 blend)
- Longest contextGPT-5.1 Codex MaxGPT-5.1 Codex Max 400,000 · Jamba Large 256,000 · Gemini 2.5 Computer Use Preview 128,000 tokens
- Widest inputsGemini 2.5 Computer Use Preview and GPT-5.1 Codex MaxGemini 2.5 Computer Use Preview: Text, Images · GPT-5.1 Codex Max: Text, Images · Jamba Large: Text
- Self-hostingJamba LargePublishes downloadable weights
| Measure | Weight | Gemini 2.5 Computer Use Preview | GPT-5.1 Codex Max | Jamba Large |
|---|---|---|---|---|
| Price | 50% | 24 | 24 | 24 |
| Inputs & features | 30% | 60 | 70 | 35 |
| Context window | 20% | 24 | 44 | 36 |
| Overall | 100% | 35/100 | 42/100 | 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 | Gemini 2.5 Computer Use PreviewGoogle | GPT-5.1 Codex MaxOpenAI | Jamba LargeAI21 Labs |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 (best) | $1.25 (best) | $2.00 |
| Output | $10.00 | $10.00 | $8.00 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $3.44 (best) | $3.44 (best) | $3.50 |
| Long-context rate | Over 200K: $2.50 / $15.00 | Same rate | Same rate |
| Price source | Official Google API | Median of 8 providers | Official AI21 Labs API |
| Limits | |||
| Context window | 128,000 tokens | 400,000 tokens (best) | 256,000 tokens |
| Max output | 64,000 tokens | 128,000 tokens (best) | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | gemini-2.5-computer-use-preview-10-2025 | — | jamba-large |
| API providers | 2 | 8 (best) | 1 |
| Released | Oct 7, 2025 | Nov 13, 2025 | Jul 1, 2025 |
| Knowledge cutoff | Jan 2025 | Sep 30, 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.
- Gemini 2.5 Computer Use Preview$32.50
- GPT-5.1 Codex Max$32.50
- Jamba Large$36.00
Which should you choose?
Which is better: Gemini 2.5 Computer Use Preview, GPT-5.1 Codex Max or Jamba Large?
GPT-5.1 Codex Max is the better all-round choice, scoring 42/100 against Gemini 2.5 Computer Use Preview (35) and Jamba Large (30). 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, Gemini 2.5 Computer Use Preview, GPT-5.1 Codex Max or Jamba Large?
Gemini 2.5 Computer Use Preview is cheaper at $1.25 input / $10.00 output per million tokens (official Google API price). GPT-5.1 Codex Max costs $1.25 input / $10.00 output per million tokens (median across 8 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 $3.44 per million tokens for Gemini 2.5 Computer Use Preview versus $3.44 for GPT-5.1 Codex Max (1× as much) and $3.50 for Jamba Large (1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemini 2.5 Computer Use Preview has not been scored yet, GPT-5.1 Codex Max 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 Gemini 2.5 Computer Use Preview, GPT-5.1 Codex Max and Jamba Large 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-5.1 Codex Max has the largest context window at 400,000 tokens, against 256,000 for Jamba Large and 128,000 for Gemini 2.5 Computer Use Preview. Maximum output per response: Gemini 2.5 Computer Use Preview up to 64,000, GPT-5.1 Codex Max up to 128,000, Jamba Large up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Computer Use Preview accepts text and images; GPT-5.1 Codex Max accepts text and images; Jamba Large accepts text. Gemini 2.5 Computer Use Preview handles the widest range of inputs.
Are any of these open source?
Jamba Large publishes its weights and can be self-hosted; Gemini 2.5 Computer Use Preview and GPT-5.1 Codex Max is proprietary.
Which is newer?
GPT-5.1 Codex Max is the newest, released Nov 13, 2025. Gemini 2.5 Computer Use Preview came out Oct 7, 2025; Jamba Large came out Jul 1, 2025. Knowledge cutoff: Gemini 2.5 Computer Use Preview Jan 2025, GPT-5.1 Codex Max Sep 30, 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.
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