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VECTOR WIREAI INTELLIGENCE
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Jamba 1.5 Large

Score basis

Jamba 1.5 Large has too few ranked results yet to rate it on any capability.

Capability profile

Bars show the model's median result as a share of the leading model's, per capability.

No capability has enough ranked results to rate yet.

Price

$2.00input$8.00outputper million tokens

From Artificial Analysis · All prices

Costs more than 81% of 331 priced models · 3:1 input-to-output blend, log scale

Evidence

17results on15benchmarks

  • 6 independently verified
  • 4 aggregator
  • 7 vendor-reported

From 8 sources · latest Oct 8, 2026 · How verification works

Jamba 1.5 Large benchmark results

17 results on 15 benchmarks, grouped by capability. Each bar is the result as a share of the capability leader's; every result links to its source.

Reasoning

Not enough dataFull reasoning ranking

0 of 6 ranked benchmarks measured

Coding

Not enough dataFull coding ranking

0 of 10 ranked benchmarks measured

More results

Benchmarks outside the capability baskets. They are not ranked against a leader.

Show 7 more resultsHide 7 results

Jamba 1.5 Large: common questions

Who makes Jamba 1.5 Large?

Jamba 1.5 Large is made by AI21.

When was Jamba 1.5 Large released?

Jamba 1.5 Large was released on Aug 22, 2024, according to Artificial Analysis.

How much does Jamba 1.5 Large cost?

Jamba 1.5 Large costs $2.00 per million input tokens and $8.00 per million output tokens, according to Artificial Analysis. At a mix of three input tokens to one output token, it costs more than 81% of the 331 priced models we track.

How many benchmarks has Jamba 1.5 Large been tested on?

We track 17 results for Jamba 1.5 Large on 15 benchmarks from 8 sources, 6 of them independently verified. The latest was recorded on Oct 8, 2026.

About this record

Where Jamba 1.5 Large's numbers come from, and every name it appears under.

Tracked since
Apr 27, 2026
Newest source mention
May 2, 2026

Where the results come from

Verification: 17 scores · 6 independently verified · 4 aggregator-attributed · 7 vendor-reported. How these tiers are assigned

From 8 sources on 3 sites. api.llm-stats.com supplies 7 of them; the 6 independently verified results come from 1 site. Bars are coloured by trust tier.

  • api.llm-stats.com7
  • storage.googleapis.com6
  • artificialanalysis.ai4

Also known as

jamba-1-5-largejamba-1-5-large (Reasoning)jamba-1-5-large (Non-Reasoning)