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Comparison · 2 models · Updated Nov 2, 2026

Gemini 4 Argon vs Jamba Large

Gemini 4 Argon comes out ahead, 52 to 29 on our weighted score, though Jamba Large is 13% cheaper per token.

  1. Our pick

    Google

    Gemini 4 Argon

    Released Oct 13, 2026New

    52/100
    • ECI166.1
    • Price$2.00 / $10.00
    • Context1.05M
    Full specs Remove Gemini 4 Argon

  2. AI21 Labs

    Jamba Large

    Released Jul 3, 2025

    29/100
    • ECI—
    • Price$2.00 / $8.00
    • Context256K
    Full specs Remove Jamba Large

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Gemini 4 Argon is our pick

Gemini 4 Argon is the better all-round choice, scoring 52/100 against Jamba Large (29). It leads on inputs & features and context window. Jamba Large wins on price. 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 LargeJamba Large $3.50 · Gemini 4 Argon $4.00 per 1M tokens (3:1 blend)
  • Longest contextGemini 4 ArgonGemini 4 Argon 1,048,576 · Jamba Large 256,000 tokens
  • Widest inputsGemini 4 ArgonGemini 4 Argon: Text, Images, PDFs, Audio, Video · Jamba Large: Text
  • Self-hostingJamba LargePublishes downloadable weights
How the score is built
MeasureWeightGemini 4 ArgonJamba Large
Price50%2023
Inputs & features30%10035
Context window20%6136
Overall100%52/10029/100

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 4 Argon vs Jamba Large specifications side by side
SpecificationGemini 4 ArgonGoogleJamba LargeAI21 Labs
Capability
Capabilities Index (ECI)166.1—
ECI rank#7 of 165—
GPQA DiamondGraduate-level science questions96.4%—
FrontierMath Tiers 1–3Research-level mathematics86.0%—
OTIS Mock AIME 2024–2025Competition mathematics100%—
SimpleQA VerifiedShort factual questions76.0%—
Price per million tokens
Input$2.00$2.00
Output$10.00$8.00 (best)
Cached input$0.10—
Blended (3:1)$4.00$3.50 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Google APIOfficial AI21 Labs API
Limits
Context window1,048,576 tokens (best)256,000 tokens
Max output65,536 tokens (best)4,096 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsYesNo
AudioYesNo
VideoYesNo
ReasoningYeslow · medium · highNo
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryOpen
API model IDgemini-4-argonjamba-large
API providers24 (best)1
ReleasedOct 13, 2026Jul 3, 2025
Knowledge cutoffMar 2026Aug 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 4 Argon$40.00
  • Jamba Large$36.00
04 — Questions

Which should you choose?

Which is better: Gemini 4 Argon or Jamba Large?

Gemini 4 Argon is the better all-round choice, scoring 52/100 against Jamba Large (29). It leads on inputs & features and context window. Jamba Large wins on price. 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 4 Argon or Jamba Large?

Jamba Large is cheaper at $2.00 input / $8.00 output per million tokens (official AI21 Labs API price). Gemini 4 Argon costs $2.00 input / $10.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $3.50 per million tokens for Jamba Large versus $4.00 for Gemini 4 Argon (1.1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Gemini 4 Argon has an ECI of 166.1 and Jamba Large has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 4 Argon and Jamba Large yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Gemini 4 Argon has the largest context window at 1,048,576 tokens, against 256,000 for Jamba Large. Maximum output per response: Gemini 4 Argon up to 65,536, Jamba Large up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Gemini 4 Argon accepts text, images, PDFs, audio and video; Jamba Large accepts text. Gemini 4 Argon handles the widest range of inputs.

Are any of these open source?

Jamba Large publishes its weights and can be self-hosted; Gemini 4 Argon is proprietary.

Which is newer?

Gemini 4 Argon is the newest, released Oct 13, 2026. Jamba Large came out Jul 3, 2025. Knowledge cutoff: Gemini 4 Argon Mar 2026, 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 Nov 2, 2026.

05 — Keep comparing

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