LLM·Dex

Jamba 1.5 Large vs Qwen2.5-7B

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

Verdict by category
  • PriceJamba 1.5 Large

    Jamba 1.5 Large publishes pricing ($8.00 / 1M output tokens) while Qwen2.5-7B 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 Qwen2.5-7B's 0. Jamba 1.5 Large publishes pricing ($8.00 / 1M output tokens) while Qwen2.5-7B 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.

Both shipped within roughly a month of each other in 2024, so they share the same generation of training data and tooling. Jamba 1.5 Large is usually picked for long context and rag workloads, while Qwen2.5-7B sees more deployments in local llm and on device. 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 LargeQwen2.5-7B
ProviderAI21Alibaba
ReleasedAug 2024Sep 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
  • Qwen2.5-7BPricing 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 Qwen2.5-7B.
Pick Qwen2.5-7B if

Qwen2.5-7B fits when…

  • Apache-2.0
  • Runs on laptops
  • Strong multilingual
Don't want either?

Consider Jamba 1.5 Mini

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

Frequently asked

  • Is Jamba 1.5 Large or Qwen2.5-7B 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 Qwen2.5-7B.
  • Is Jamba 1.5 Large or Qwen2.5-7B better for coding?
    Both Jamba 1.5 Large and Qwen2.5-7B 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; Qwen2.5-7B under Apache-2.0.
  • When were Jamba 1.5 Large and Qwen2.5-7B released?
    Jamba 1.5 Large was released by AI21 on 2024-08-22. Qwen2.5-7B was released by Alibaba on 2024-09-19.
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