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Comparison · 3 models · Updated Oct 4, 2026

Gemini 2.5 Computer Use Preview vs GPT-5.1 Chat vs Jamba Large

GPT-5.1 Chat comes out ahead, 38 to 35 and 30 on our weighted score.

  1. Google

    Gemini 2.5 Computer Use Preview

    Released Oct 7, 2025

    35/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
    Full specs Remove Gemini 2.5 Computer Use Preview
  2. Our pick

    OpenAI

    GPT-5.1 Chat

    Released Nov 13, 2025

    38/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
    Full specs Remove GPT-5.1 Chat

  3. AI21 Labs

    Jamba Large

    Released Jul 1, 2025

    30/100
    • ECI—
    • Price$2.00 / $8.00
    • Context256K
    Full specs Remove Jamba Large
01 — Verdict

GPT-5.1 Chat is our pick

GPT-5.1 Chat is the better all-round choice, scoring 38/100 against Gemini 2.5 Computer Use Preview (35) and Jamba Large (30). It leads on inputs & features. Jamba Large wins on 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 ChatGemini 2.5 Computer Use Preview $3.44 · GPT-5.1 Chat $3.44 · Jamba Large $3.50 per 1M tokens (3:1 blend)
  • Longest contextJamba LargeJamba Large 256,000 · Gemini 2.5 Computer Use Preview 128,000 · GPT-5.1 Chat 128,000 tokens
  • Widest inputsGemini 2.5 Computer Use Preview and GPT-5.1 ChatGemini 2.5 Computer Use Preview: Text, Images · GPT-5.1 Chat: Text, Images · Jamba Large: Text
  • Self-hostingJamba LargePublishes downloadable weights
How the score is built
MeasureWeightGemini 2.5 Computer Use PreviewGPT-5.1 ChatJamba Large
Price50%242424
Inputs & features30%607035
Context window20%242436
Overall100%35/10038/10030/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Gemini 2.5 Computer Use Preview vs GPT-5.1 Chat vs Jamba Large specifications side by side
SpecificationGemini 2.5 Computer Use PreviewGoogleGPT-5.1 ChatOpenAIJamba 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 rateOver 200K: $2.50 / $15.00Same rateSame rate
Price sourceOfficial Google APIMedian of 2 providersOfficial AI21 Labs API
Limits
Context window128,000 tokens128,000 tokens256,000 tokens (best)
Max output64,000 tokens (best)16,384 tokens4,096 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesNo
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsProprietaryProprietaryOpen
API model IDgemini-2.5-computer-use-preview-10-2025—jamba-large
API providers2 (best)2 (best)1
ReleasedOct 7, 2025Nov 13, 2025Jul 1, 2025
Knowledge cutoffJan 2025Sep 30, 2024Aug 22, 2024
03 — Cost

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 Chat$32.50
  • Jamba Large$36.00
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Computer Use Preview, GPT-5.1 Chat or Jamba Large?

GPT-5.1 Chat is the better all-round choice, scoring 38/100 against Gemini 2.5 Computer Use Preview (35) and Jamba Large (30). It leads on inputs & features. Jamba Large wins on 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 Chat 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 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 $3.44 per million tokens for Gemini 2.5 Computer Use Preview versus $3.44 for GPT-5.1 Chat (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 Chat 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 Chat 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?

Jamba Large has the largest context window at 256,000 tokens, against 128,000 for Gemini 2.5 Computer Use Preview and 128,000 for GPT-5.1 Chat. Maximum output per response: Gemini 2.5 Computer Use Preview up to 64,000, GPT-5.1 Chat up to 16,384, 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 Chat 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 Chat is proprietary.

Which is newer?

GPT-5.1 Chat 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 Chat 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.

05 — Keep comparing

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