Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) | Jamba 1.5 Mini |
|---|---|---|
| Input ($/M tokens) | $0.1 | $0.2 |
| Output ($/M tokens) | $0.4 | $0.4 |
Verdict. Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) wins the overall benchmark matchup 1–0 across 1 overlapping categories, but raw benchmark score is only one input to the decision.
Pricing. Both models sit in the budget bracket for output-token pricing. At 1.0× the per-million-token cost, Jamba 1.5 Mini is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Jamba 1.5 Mini makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) is strongest on Intelligence Index (15.2). Jamba 1.5 Mini leads on Intelligence Index (2.3).
Speed. Speed data is incomplete for this pair; benchmark and price should decide.
Provider. Google and AI21 Labs sell to overlapping but distinct developer audiences: Google tends to ship frontier reasoning models with premium positioning, while AI21 Labs often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.
Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) costs $9.00 ($108/year); Jamba 1.5 Mini costs $12.00 ($144/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) ≈ $1.30/run, Jamba 1.5 Mini ≈ $1.80/run. At agent/realtime scale (200M input / 100M output per million requests): Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) ≈ $60/run, Jamba 1.5 Mini ≈ $80/run. Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.
Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.
Data from Artificial Analysis API — 12 benchmarks
Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.17/M tokens vs $0.25/M for Jamba 1.5 Mini.
Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) wins 1 out of 12 benchmarks compared to 0 for Jamba 1.5 Mini. See the detailed benchmark chart above for per-category results.
Both models have comparable generation speeds.
Choose based on your priorities: Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) for lower cost, Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) for stronger benchmark performance, and both have comparable speed. For latency-sensitive apps, check the TTFT comparison above.