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Command R+ (08-2024) vs Jamba 1.5 Large

A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.

Updated

Command R+ (08-2024) specs · Jamba 1.5 Large specs
Verdict by category
  • PriceJamba 1.5 Large

    Jamba 1.5 Large is roughly 1.3× cheaper on output tokens ($8.00 vs $10.00 per 1M).

  • Context windowJamba 1.5 Large

    Jamba 1.5 Large accepts 256K tokens vs 128K, 2.0× the room for long documents and codebases.

  • BenchmarksTie

    No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.

  • ModalitiesTie

    Both handle text.

  • OpennessTie

    Both ship open weights, self-host either one.

On balance Jamba 1.5 Large edges ahead, winning 2 of 5 categories against Command R+ (08-2024)'s 0. Jamba 1.5 Large is roughly 1.3× cheaper on output tokens ($8.00 vs $10.00 per 1M). Jamba 1.5 Large accepts 256K tokens vs 128K, 2.0× the room for long documents and codebases.

No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. Both target the same set of modalities (text), so the deciding factors are price, context, and raw quality. Both ship open weights, self-host either one.

Both shipped within roughly a month of each other in 2024, so they share the same generation of training data and tooling. Command R+ (08-2024) is usually picked for rag and data extraction workloads, while Jamba 1.5 Large sees more deployments in long context and rag. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecCommand R+ (08-2024)Jamba 1.5 Large
ProviderCohereAI21
ReleasedAug 2024Aug 2024
Modalitiestexttext
Context window128K tokens256K tokens
Max output,,
Input · 1M$2.50 / 1M tokens$2.00 / 1M tokens
Output · 1M$10.00 / 1M tokens$8.00 / 1M tokens
Knowledge cutoff,,
Open weightsYes (CC-BY-NC 4.0)Yes (Jamba Open Model License)
API availableYesYes

Pricing at scale

What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.

  • Light usage, 100k in / 50k out per day$22.50 vs $18.00
  • Heavy usage, 1M in / 500k out per day$225 vs $180
  • RAG workload, 5M in / 200k out per day$435 vs $348

Light usage, 100k in / 50k out per day: $22.50 vs $18.00 per month, model B comes out ahead. Heavy usage, 1M in / 500k out per day: $225 vs $180 per month, model B comes out ahead. RAG workload, 5M in / 200k out per day: $435 vs $348 per month, model B comes out ahead.

Price calculator

Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.

  • Command R+ (08-2024)$0.750
  • Jamba 1.5 Large$0.600

Benchmarks compared

Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.

Command R+ (08-2024)Jamba 1.5 Large
  • MMLU75.7
Pick Command R+ (08-2024) if

Command R+ (08-2024) fits when…

  • RAG-tuned
  • Citation generation
  • Enterprise tooling
Pick Jamba 1.5 Large if

Jamba 1.5 Large fits when…

  • 256k context
  • Efficient long-context inference
  • Open weights
  • Cost-sensitive workloads, 1.3× cheaper than Command R+ (08-2024) on output tokens.
  • Long-context tasks, handles 256K tokens vs 128K for Command R+ (08-2024).
Don't want either?

Consider Command R

Cohere's mid-tier RAG-optimized model, affordable and reliable on retrieval workloads.

See Command R specsCommand R+ (08-2024) vs Command RJamba 1.5 Large vs Command R

Frequently asked

  • Is Command R+ (08-2024) or Jamba 1.5 Large cheaper?
    Jamba 1.5 Large is cheaper at $8.00 / 1M tokens per million output tokens, vs $10.00 / 1M tokens for Command R+ (08-2024).
  • Which has the larger context window?
    Jamba 1.5 Large accepts 256K tokens vs 128K for Command R+ (08-2024).
  • Is Command R+ (08-2024) or Jamba 1.5 Large better for coding?
    Both Command R+ (08-2024) and Jamba 1.5 Large are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.
  • Are either of these models open source?
    Both ship with open weights. Command R+ (08-2024) is licensed under CC-BY-NC 4.0; Jamba 1.5 Large under Jamba Open Model License.
  • When were Command R+ (08-2024) and Jamba 1.5 Large released?
    Command R+ (08-2024) was released by Cohere on 2024-08-30. Jamba 1.5 Large was released by AI21 on 2024-08-22.
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