Gemini 2.5 Pro 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.
- PriceJamba 1.5 Large
Jamba 1.5 Large is roughly 1.3× cheaper on output tokens ($8.00 vs $10.00 per 1M).
- Context windowGemini 2.5 Pro
Gemini 2.5 Pro accepts 2.1M tokens vs 256K, 8.2× 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.
- ModalitiesGemini 2.5 Pro
Gemini 2.5 Pro supports 4 modalities (text, vision, audio, video) vs 1 for Jamba 1.5 Large.
- OpennessJamba 1.5 Large
Jamba 1.5 Large ships open weights (Jamba Open Model License); Gemini 2.5 Pro is API-only.
It's a genuine coin-flip between Gemini 2.5 Pro and Jamba 1.5 Large: 2 category wins each, with the rest tied. Jamba 1.5 Large is roughly 1.3× cheaper on output tokens ($8.00 vs $10.00 per 1M). Gemini 2.5 Pro accepts 2.1M tokens vs 256K, 8.2× the room for long documents and codebases.
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. They differ in modality coverage, Gemini 2.5 Pro handles text, vision, audio, video while Jamba 1.5 Large handles text, which can be the deciding factor before you even look at benchmarks. Jamba 1.5 Large ships open weights (Jamba Open Model License); Gemini 2.5 Pro is API-only.
Gemini 2.5 Pro is the newer of the two, released 7 months after Jamba 1.5 Large, which usually means a more recent knowledge cutoff and updated safety post-training. Gemini 2.5 Pro is usually picked for long context and rag 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
| Spec | Gemini 2.5 Pro | Jamba 1.5 Large |
|---|---|---|
| Provider | AI21 | |
| Released | Mar 2025 | Aug 2024 |
| Modalities | text, vision, audio, video | text |
| Context window | 2.1M tokens | 256K tokens |
| Max output | , | , |
| Input · 1M | $1.25 / 1M tokens | $2.00 / 1M tokens |
| Output · 1M | $10.00 / 1M tokens | $8.00 / 1M tokens |
| Knowledge cutoff | 2025-01 | , |
| Open weights | No | Yes (Jamba Open Model License) |
| API available | Yes | Yes |
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$18.75 vs $18.00
- Heavy usage, 1M in / 500k out per day$188 vs $180
- RAG workload, 5M in / 200k out per day$248 vs $348
Light usage, 100k in / 50k out per day: $18.75 vs $18.00 per month, model B comes out ahead. Heavy usage, 1M in / 500k out per day: $188 vs $180 per month, model B comes out ahead. RAG workload, 5M in / 200k out per day: $248 vs $348 per month, model A comes out ahead.
Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.
- Gemini 2.5 Pro$0.625
- 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.
- MMLU86.0
- GPQA84.0
Gemini 2.5 Pro fits when…
- 2M-token context window
- Strong on long-document tasks
- Native multimodal handling
- Long-context tasks, handles 2.1M tokens vs 256K for Jamba 1.5 Large.
- Multimodal needs covering vision, audio, video.
Jamba 1.5 Large fits when…
- 256k context
- Efficient long-context inference
- Open weights
- Cost-sensitive workloads, 1.3× cheaper than Gemini 2.5 Pro on output tokens.
- Self-hosting and on-prem requirements, open weights (Jamba Open Model License).
Consider Gemini 3 Pro
Google's late-2025 flagship, set new benchmarks on long-context, vision, and reasoning at competitive pricing.
Frequently asked
Is Gemini 2.5 Pro 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 Gemini 2.5 Pro.Which has the larger context window?
Gemini 2.5 Pro accepts 2.1M tokens vs 256K for Jamba 1.5 Large.Is Gemini 2.5 Pro or Jamba 1.5 Large better for coding?
Both Gemini 2.5 Pro 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?
Jamba 1.5 Large ships open weights (Jamba Open Model License). Gemini 2.5 Pro is API-only.When were Gemini 2.5 Pro and Jamba 1.5 Large released?
Gemini 2.5 Pro was released by Google on 2025-03-25. Jamba 1.5 Large was released by AI21 on 2024-08-22.
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