AI21 Labs

Jamba2 Mini

An SSM-Transformer MoE for long-context instruction following and grounded generation.

open-weightslong-contextgrounding

Model record

Jamba2 Mini model overview

Jamba2 Mini is a open weights model from AI21 Labs. Its release date was unavailable during review. Its strongest case is 256k context, while buyers should account for release date unavailable.

Jamba2 Mini benchmark snapshot

EvaluationReported scoreWhat it probes
MMLU-ProNot reportedBroad knowledge and multi-step reasoning
GPQA DiamondNot reportedGraduate-level science reasoning
SWE-bench VerifiedNot reportedVerified real-repository issue resolution
LiveCodeBenchNot reportedContamination-aware competitive programming
SWE-Bench ProNot reportedLonger, harder professional software tasks
Artificial Analysis Intelligence IndexNot reportedComposite third-party capability index; version matters

Scores are percentages reported by model creators or benchmark maintainers under varying settings. A blank is preferable to an inferred result. See our methodology.

Jamba2 Mini strengths

  • 256K context
  • Open weights
  • Grounded generation

Jamba2 Mini limitations

  • Release date unavailable
  • Current model-specific API prices unavailable
Editorial take: Benchmark rank should narrow a shortlist, not close a purchase. Run a private evaluation with representative prompts, failure cases, latency targets, and total token costs.

Source record

Specifications and scores are linked to the best source located during review. Provider-reported results are not presented as third-party lab reproductions.

Read AI21 Jamba2 announcement