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Jamba 1.5 Large vs Mistral Medium

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 Medium specs
Verdict by category
  • PriceMistral Medium

    Mistral Medium is roughly 4.0× cheaper on output tokens ($2.00 vs $8.00 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.

  • OpennessJamba 1.5 Large

    Jamba 1.5 Large ships open weights (Jamba Open Model License); Mistral Medium is API-only.

On balance Jamba 1.5 Large edges ahead, winning 2 of 5 categories against Mistral Medium's 1. Mistral Medium is roughly 4.0× cheaper on output tokens ($2.00 vs $8.00 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. Jamba 1.5 Large ships open weights (Jamba Open Model License); Mistral Medium is API-only.

Mistral Medium is the newer of the two, released 4 months after Jamba 1.5 Large, 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 Medium sees more deployments in customer support and chatbots. 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 Medium
ProviderAI21Mistral
ReleasedAug 2024Dec 2024
Modalitiestexttext
Context window256K tokens128K tokens
Max output,,
Input · 1M$2.00 / 1M tokens$0.40 / 1M tokens
Output · 1M$8.00 / 1M tokens$2.00 / 1M tokens
Knowledge cutoff,,
Open weightsYes (Jamba Open Model License)No
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 $4.20
  • Heavy usage, 1M in / 500k out per day$180 vs $42.00
  • RAG workload, 5M in / 200k out per day$348 vs $72.00

Light usage, 100k in / 50k out per day: $18.00 vs $4.20 per month, model B comes out ahead. Heavy usage, 1M in / 500k out per day: $180 vs $42.00 per month, model B comes out ahead. RAG workload, 5M in / 200k out per day: $348 vs $72.00 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.

  • Jamba 1.5 Large$0.600
  • Mistral Medium$0.140

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 Medium.
  • Self-hosting and on-prem requirements, open weights (Jamba Open Model License).
Pick Mistral Medium if

Mistral Medium fits when…

  • Mid-tier balance
  • EU-friendly
  • Cost-sensitive workloads, 4.0× cheaper than Jamba 1.5 Large on output tokens.
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 Medium vs Jamba 1.5 Mini

Frequently asked

  • Is Jamba 1.5 Large or Mistral Medium cheaper?
    Mistral Medium is cheaper at $2.00 / 1M tokens per million output tokens, vs $8.00 / 1M tokens for Jamba 1.5 Large.
  • Which has the larger context window?
    Jamba 1.5 Large accepts 256K tokens vs 128K for Mistral Medium.
  • Is Jamba 1.5 Large or Mistral Medium better for coding?
    Both Jamba 1.5 Large and Mistral Medium 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?
    Jamba 1.5 Large ships open weights (Jamba Open Model License). Mistral Medium is API-only.
  • When were Jamba 1.5 Large and Mistral Medium released?
    Jamba 1.5 Large was released by AI21 on 2024-08-22. Mistral Medium was released by Mistral on 2024-12-18.
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