vs
1:0
overall capability wins (1 ties across 2 scored). Amazon Nova Lite leads overall.
- Pricing0:3
- Speed0:2
- Specs1:0
Verdict
Amazon Nova Lite offers ~2.3x larger context (300K vs 128K); Amazon Nova Micro is ~1.7x cheaper on a blended token basis than Amazon Nova Lite.
- Amazon Nova Lite offers ~2.3x larger context (300K vs 128K)
- Amazon Nova Micro is ~1.7x cheaper on a blended token basis than Amazon Nova Lite
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Amazon Nova Lite
- $0.12
- Amazon Nova Micro
- $0.07
Amazon Nova Micro is about 1.7x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Amazon
Amazon
Family
Amazon
Amazon
License
Proprietary
Proprietary
Open weights
No
No
Release
Dec 3, 2024
Dec 3, 2024
Knowledge cutoff
-
-
API / provider
AWS Bedrock
AWS Bedrock
Modalities
text, image, video → text
text → text
Specs
Context window
300K
128K
Max output
10K
10K
Parameters
—
—
Pricing
Input $/1M
$0.06
$0.04
Output $/1M
$0.24
$0.14
Blended $/1M (3∶1)
$0.10
$0.06
Speed
tok/s
160
200
TTFT (s)
0.2
0.15
Reasoning
MMLU-Pro
—
—
GPQA Diamond
—
—
Humanity's Last Exam
—
—
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
—
AA-LCR v1.1
—
—
CritPt
—
—
MMMU-Pro
—
—
IFBench
—
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
—
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
—
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
—
| Metric | Amazon Nova Lite | Amazon Nova Micro | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Amazon | Amazon | — |
| Family | Amazon | Amazon | — |
| License | Proprietary | Proprietary | — |
| Open weights | No | No | — |
| Release | Dec 3, 2024 | Dec 3, 2024 | — |
| Knowledge cutoff | - | - | — |
| API / provider | AWS Bedrock | AWS Bedrock | — |
| Modalities | text, image, video → text | text → text | — |
| Specs | |||
| Context window | 300K | 128K | A +172K |
| Max output | 10K | 10K | tie |
| Parameters | — | — | — |
| Pricing | |||
| Input $/1M | $0.06 | $0.04 | B +$0.02 |
| Output $/1M | $0.24 | $0.14 | B +$0.10 |
| Blended $/1M (3∶1) | $0.10 | $0.06 | B +$0.04 |
| Speed | |||
| tok/s | 160 | 200 | B +40 |
| TTFT (s) | 0.2 | 0.15 | B +0.05 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | — | — | — |
| Humanity's Last Exam | — | — | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | — | — |
| AA-LCR v1.1 | — | — | — |
| CritPt | — | — | — |
| MMMU-Pro | — | — | — |
| IFBench | — | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | — | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | — | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | — | — |
Amazon Nova Lite
- Context
- 300K / 10K out
- Parameters
- —
- Price
- $0.06 / $0.24
- Speed
- 160 tok/s · 0.2s TTFT
- Modalities
- text, image, video → text
- License
- Proprietary
Cheapest Nova multimodal SKU for high-throughput Bedrock pipelines.
Amazon Nova Micro
- Context
- 128K / 10K out
- Parameters
- —
- Price
- $0.04 / $0.14
- Speed
- 200 tok/s · 0.15s TTFT
- Modalities
- text → text
- License
- Proprietary
Text-only Nova understanding model - lowest-latency / lowest-cost Amazon first-party SKU on Bedrock.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.
These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.