amazon · Efficient
Amazon Nova 2 Lite
A fast, cost-effective reasoning model with 1M token context. Supports extended thinking with adjustable depth levels and built-in web grounding and code interpreter tools.
- Input
- Text
- Output
- Text
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.51
- Output
- $4.25
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 65.5K
Side by side
Amazon Nova 2 Lite compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Amazon Nova 2 LiteamazonThis model | Gemini 2.0 Pro 0205GoogleRemove | |
|---|---|---|
| Provider | amazon | |
| Discovery tier | Efficient | Balanced |
| Added | Jan 1, 2024 | Feb 5, 2025 |
| Limits | ||
| Context window | 1M | 2.1MBest |
| Max output | 65.54KBest | 8.19K |
| Pricing, USD per 1M tokens | ||
| Input | $0.51Best | $1.99 |
| Output | $4.25Best | $7.96 |
| Cache read | — | $0.50 |
| Benchmark indexes | ||
| Intelligence Index | 8.7 | 8.7 |
| Coding Index | — | 25.5 |
| Math Index | 33.7 | — |
| Capabilities | ||
| Vision | No | Yes |
| Audio input | No | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Amazon Nova 2 Lite
- Gemini 2.0 Pro 0205
Intelligence Index
- Amazon Nova 2 Lite8.7
- Gemini 2.0 Pro 02058.7
Amazon Nova 2 Lite: Better than 15% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- Amazon Nova 2 Lite: —
- Gemini 2.0 Pro 0205: 25.5
Math Index
Composite of the math evaluations
- Amazon Nova 2 Lite: 33.7
- Gemini 2.0 Pro 0205: —
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Amazon Nova 2 Lite: 18.7%
- Gemini 2.0 Pro 0205: —
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Amazon Nova 2 Lite: 2.9%
- Gemini 2.0 Pro 0205: 6.2%Top
GPQA Diamond
Graduate-level science questions
- Amazon Nova 2 Lite: 60.3%
- Gemini 2.0 Pro 0205: 62.2%Top
MMLU-Pro
Multi-subject knowledge and reasoning
- Amazon Nova 2 Lite: 74.3%
- Gemini 2.0 Pro 0205: 80.5%Top
IFBench
Following precise output instructions
- Amazon Nova 2 Lite: 40.5%
- Gemini 2.0 Pro 0205: —
Coding
LiveCodeBench
Recent competitive programming problems
- Amazon Nova 2 Lite: 34.6%
- Gemini 2.0 Pro 0205: 34.7%Top
Math
AIME 2025
Competition mathematics, 2025 problems
- Amazon Nova 2 Lite: 33.7%
- Gemini 2.0 Pro 0205: —
AIME
Competition mathematics
- Amazon Nova 2 Lite: —
- Gemini 2.0 Pro 0205: 36.0%
MATH-500
Competition math problems
- Amazon Nova 2 Lite: —
- Gemini 2.0 Pro 0205: 92.3%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Amazon Nova 2 Lite: 6.8%
- Gemini 2.0 Pro 0205: —
τ²-Bench Telecom
Tool use in a customer-support simulation
- Amazon Nova 2 Lite: 62.0%
- Gemini 2.0 Pro 0205: —
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Amazon Nova 2 Lite: 18.7%
- Gemini 2.0 Pro 0205: —
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- Amazon Nova 2 Lite
- Gemini 2.0 Pro 0205
| Leaderboard | Amazon Nova 2 Lite | Gemini 2.0 Pro 0205 |
|---|---|---|
| Vision Style Control · Creative Writing | Not in top 20 | #5 · 1262.4 |
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
- Amazon Nova 2 Lite
- Gemini 2.0 Pro 0205
| Leaderboard | Amazon Nova 2 Lite | Gemini 2.0 Pro 0205 |
|---|---|---|
| SWE-bench Verified | Not in top 20 | #12 · 57.6% |
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "amazon/nova-2-lite-v1",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="amazon/nova-2-lite-v1",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)amazon
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