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 | Mistral Code Agent LatestMistralRemove | |
|---|---|---|
| Provider | amazon | Mistral |
| Discovery tier | Efficient | Open weights |
| Added | Jan 1, 2024 | Jun 2, 2026 |
| Limits | ||
| Context window | 1MBest | 262.14K |
| Max output | 65.54KBest | 32.77K |
| Average output | — | 316 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.51 | $0.40Best |
| Output | $4.25 | $2.00Best |
| Performance | ||
| Request success (24h) | — | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 8.7Best | 8.6 |
| Coding Index | — | 31.3 |
| Math Index | 33.7 | 36.7Best |
| Capabilities | ||
| Tools | No | Yes |
| Structured output | 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
- Mistral Code Agent Latest
Intelligence Index
- Amazon Nova 2 Lite8.7
- Mistral Code Agent Latest8.6
Amazon Nova 2 Lite: Better than 15% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- Amazon Nova 2 Lite: —
- Mistral Code Agent Latest: 31.3
Math Index
Composite of the math evaluations
- Amazon Nova 2 Lite: 33.7
- Mistral Code Agent Latest: 36.7Top
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- Amazon Nova 2 Lite: —
- Mistral Code Agent Latest: 3.1%
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- Amazon Nova 2 Lite: —
- Mistral Code Agent Latest: 0.0%
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- Amazon Nova 2 Lite: —
- Mistral Code Agent Latest: 482 Elo
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- Amazon Nova 2 Lite: —
- Mistral Code Agent Latest: 544 Elo
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- Amazon Nova 2 Lite: —
- Mistral Code Agent Latest: 2.4%
AA-LCRv1.1
Reasoning across long documents
- Amazon Nova 2 Lite: 18.7%
- Mistral Code Agent Latest: 32.3%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Amazon Nova 2 Lite: 2.9%
- Mistral Code Agent Latest: 3.6%Top
GPQA Diamond
Graduate-level science questions
- Amazon Nova 2 Lite: 60.3%Top
- Mistral Code Agent Latest: 59.4%
MMLU-Pro
Multi-subject knowledge and reasoning
- Amazon Nova 2 Lite: 74.3%
- Mistral Code Agent Latest: 76.2%Top
IFBench
Following precise output instructions
- Amazon Nova 2 Lite: 40.5%Top
- Mistral Code Agent Latest: 38.1%
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- Amazon Nova 2 Lite: —
- Mistral Code Agent Latest: 0.0%
SciCode
Scientific computing in Python
- Amazon Nova 2 Lite: —
- Mistral Code Agent Latest: 32.8%
LiveCodeBench
Recent competitive programming problems
- Amazon Nova 2 Lite: 34.6%
- Mistral Code Agent Latest: 44.8%Top
Math
AIME 2025
Competition mathematics, 2025 problems
- Amazon Nova 2 Lite: 33.7%
- Mistral Code Agent Latest: 36.7%Top
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Amazon Nova 2 Lite: 6.8%
- Mistral Code Agent Latest: 18.9%Top
τ²-Bench Telecom
Tool use in a customer-support simulation
- Amazon Nova 2 Lite: 62.0%Top
- Mistral Code Agent Latest: 24.9%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Amazon Nova 2 Lite: 18.7%
- Mistral Code Agent Latest: 32.3%Top
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
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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