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Jamba 1.5 Large vs Mistral Nemo

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

Updated

Jamba 1.5 Large specs · Mistral Nemo specs
Verdict by category
  • PriceJamba 1.5 Large

    Jamba 1.5 Large publishes pricing ($8.00 / 1M output tokens) while Mistral Nemo does not.

  • 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 Mistral Nemo's 0. Jamba 1.5 Large publishes pricing ($8.00 / 1M output tokens) while Mistral Nemo does not. 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.

Jamba 1.5 Large is the newer of the two, released 1 months after Mistral Nemo, which usually means a more recent knowledge cutoff and updated safety post-training. Jamba 1.5 Large is usually picked for long context and rag workloads, while Mistral Nemo sees more deployments in edge deployment and local llm. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecJamba 1.5 LargeMistral Nemo
ProviderAI21Mistral
ReleasedAug 2024Jul 2024
Modalitiestexttext
Context window256K tokens128K tokens
Max output,,
Input · 1M$2.00 / 1M tokensPricing not published
Output · 1M$8.00 / 1M tokensPricing not published
Knowledge cutoff,,
Open weightsYes (Jamba Open Model License)Yes (Apache-2.0)
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$18.00 vs ,
  • Heavy usage, 1M in / 500k out per day$180 vs ,
  • RAG workload, 5M in / 200k out per day$348 vs ,

Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).

Price calculator

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

  • Jamba 1.5 Large$0.600
  • Mistral NemoPricing unavailable

Benchmarks compared

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

Benchmark scores not yet available. We only publish numbers we can source from official model cards or independent leaderboards, see methodology.
Pick Jamba 1.5 Large if

Jamba 1.5 Large fits when…

  • 256k context
  • Efficient long-context inference
  • Open weights
  • Long-context tasks, handles 256K tokens vs 128K for Mistral Nemo.
Pick Mistral Nemo if

Mistral Nemo fits when…

  • Apache-2.0
  • Single-GPU fit
  • Multilingual
Don't want either?

Consider Jamba 1.5 Mini

Smaller hybrid SSM-Transformer model, fast and efficient at long contexts.

See Jamba 1.5 Mini specsJamba 1.5 Large vs Jamba 1.5 MiniMistral Nemo vs Jamba 1.5 Mini

Frequently asked

  • Is Jamba 1.5 Large or Mistral Nemo cheaper?
    Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.
  • Which has the larger context window?
    Jamba 1.5 Large accepts 256K tokens vs 128K for Mistral Nemo.
  • Is Jamba 1.5 Large or Mistral Nemo better for coding?
    Both Jamba 1.5 Large and Mistral Nemo 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. Jamba 1.5 Large is licensed under Jamba Open Model License; Mistral Nemo under Apache-2.0.
  • When were Jamba 1.5 Large and Mistral Nemo released?
    Jamba 1.5 Large was released by AI21 on 2024-08-22. Mistral Nemo was released by Mistral on 2024-07-18.
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