Model Comparison
Gemini 3.1 Flash-Lite
vs. Jamba 1.6 Large
Comparing 2 AI models · 11 benchmarks · Google, AI21 Labs
Recommended Pick
Go Gemini 3.1 Flash-Lite 10 metric wins Strongest on: Value, Input price, Output price
Best Value
Gemini 3.1 Flash-Lite
100.0 value score
44.0 reasoning / $0.56/1M
Lowest Price
Gemini 3.1 Flash-Lite
$0.25/1M input price
Best Reasoning
Gemini 3.1 Flash-Lite
44.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.1 Flash-Lite
30.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Gemini 3.1 Flash-Lite has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Gemini 3.1 Flash-Lite is 8.0x cheaper on input tokens than Jamba 1.6 Large.
Speed gap
Gemini 3.1 Flash-Lite generates about 6.1x as many tokens per second as Jamba 1.6 Large.
Reasoning gap
Gemini 3.1 Flash-Lite leads Jamba 1.6 Large by 20.8 points on reasoning.
Top-pick rationale
Gemini 3.1 Flash-Lite wins 10 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 3.1 Flash-Lite
TTFT
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Time
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tok/s
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Tokens
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Cost
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Jamba 1.6 Large
AI21 Labs
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | Top Pick Go Gemini 3.1 Flash-Lite | AI Jamba 1.6 Large |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.25/1M | $2.00/1M |
| Output Cost | $1.50/1M | $8.00/1M |
| Blended (3:1) | $0.56/1M | $3.50/1M |
| Specifications | ||
| Organization | AI21 Labs | |
| Release Date | Mar 3, 2026 | Mar 6, 2025 |
| Performance & Speed | ||
| Throughput | 323.6 tok/s | 53.4 tok/s |
| TTFT | 5378ms | 917ms |
| Latency | 5378ms | 917ms |
| Composite Indices | ||
| Value Score | 100.0 | 8.5 |
| Reasoning Score | 44.0 | 23.2 |
| Intelligence | 33.5 | 10.6 |
| Coding | 30.1 | — |
| Standard Benchmarks | ||
| GPQA | 82.2% | 38.7% |
| MMLU Pro | — | 56.5% |
| HLE | 16.2% | 4.0% |
| LiveCodeBench | — | 17.2% |
| MATH 500 | — | 58.0% |
| AIME (Original) | — | 4.7% |
| SciCode | 41.9% | 18.4% |
| LCR | 65.3% | — |
| IFBench | 77.2% | — |
| TAU-bench v2 | 31.3% | — |
| TerminalBench Hard | 24.2% | — |
Key Takeaways
Gemini 3.1 Flash-Lite offers the best value at $0.25/1M, making it ideal for high-volume applications and cost-conscious projects.
Gemini 3.1 Flash-Lite has the strongest reasoning profile with a 44.0 reasoning score, combining the available reasoning-heavy benchmarks.
Gemini 3.1 Flash-Lite reaches a 30.1 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Gemini 3.1 Flash-Lite
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Jamba 1.6 Large
- General-purpose AI
- Versatile applications
