Gemini 3 Pro vs Jamba 1.5 Mini
A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.
Updated
Gemini 3 Pro specs · Jamba 1.5 Mini specs- PriceJamba 1.5 Mini
Jamba 1.5 Mini publishes pricing ($0.40 / 1M output tokens) while Gemini 3 Pro does not.
- Context windowGemini 3 Pro
Gemini 3 Pro accepts 1.0M tokens vs 256K, 4.1× 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 3 Pro
Gemini 3 Pro supports 4 modalities (text, vision, audio, video) vs 1 for Jamba 1.5 Mini.
- OpennessJamba 1.5 Mini
Jamba 1.5 Mini ships open weights (Jamba Open Model License); Gemini 3 Pro is API-only.
It's a genuine coin-flip between Gemini 3 Pro and Jamba 1.5 Mini: 2 category wins each, with the rest tied. Jamba 1.5 Mini publishes pricing ($0.40 / 1M output tokens) while Gemini 3 Pro does not. Gemini 3 Pro accepts 1.0M tokens vs 256K, 4.1× 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 3 Pro handles text, vision, audio, video while Jamba 1.5 Mini handles text, which can be the deciding factor before you even look at benchmarks. Jamba 1.5 Mini ships open weights (Jamba Open Model License); Gemini 3 Pro is API-only.
Gemini 3 Pro is the newer of the two, released 16 months after Jamba 1.5 Mini, which usually means a more recent knowledge cutoff and updated safety post-training. Gemini 3 Pro is usually picked for long context and rag workloads, while Jamba 1.5 Mini sees more deployments in long context and summarization. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.
Side-by-side specs
| Spec | Gemini 3 Pro | Jamba 1.5 Mini |
|---|---|---|
| Provider | AI21 | |
| Released | Dec 2025 | Aug 2024 |
| Modalities | text, vision, audio, video | text |
| Context window | 1.0M tokens | 256K tokens |
| Max output | 65.5K tokens | , |
| Input · 1M | Pricing not published | $0.20 / 1M tokens |
| Output · 1M | Pricing not published | $0.40 / 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, vs $1.20
- Heavy usage, 1M in / 500k out per day, vs $12.00
- RAG workload, 5M in / 200k out per day, vs $32.40
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).
Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.
- Gemini 3 ProPricing unavailable
- Jamba 1.5 Mini$0.040
Benchmarks compared
Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.
- MMLU91.8
- HumanEval95.4
- GPQA91.9
Gemini 3 Pro fits when…
- Massive 1M-token context window
- State-of-the-art vision and document understanding
- Strong reasoning at competitive price
- Long-context tasks, handles 1.0M tokens vs 256K for Jamba 1.5 Mini.
- Multimodal needs covering vision, audio, video.
Jamba 1.5 Mini fits when…
- 256k context at small-model price
- Hybrid SSM-Transformer is efficient on long inputs
- Open weights for self-hosting
- Self-hosting and on-prem requirements, open weights (Jamba Open Model License).
Consider Gemini 3 Flash
Google's high-speed, low-cost mid-tier with the same massive context window, popular for high-volume RAG.
Frequently asked
Is Gemini 3 Pro or Jamba 1.5 Mini 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?
Gemini 3 Pro accepts 1.0M tokens vs 256K for Jamba 1.5 Mini.Is Gemini 3 Pro or Jamba 1.5 Mini better for coding?
Both Gemini 3 Pro and Jamba 1.5 Mini 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 Mini ships open weights (Jamba Open Model License). Gemini 3 Pro is API-only.When were Gemini 3 Pro and Jamba 1.5 Mini released?
Gemini 3 Pro was released by Google on 2025-12-09. Jamba 1.5 Mini was released by AI21 on 2024-08-22.
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