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  3. DeepSeek R1 vs Amazon: Nova Lite 1.0

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

DeepSeek R1 vs Amazon: Nova Lite 1.0 benchmark

In this head-to-head showdown, Amazon: Nova Lite 1.0 is more budget-friendly at $0.24/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose DeepSeek R1 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Amazon: Nova Lite 1.0 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

Amazon: Nova Lite 1.0 holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
DeepSeek R1Top code solve rate
ReasoningGPQA / Live
DeepSeek R1Top logical accuracy
Best Value$/1M Tok
Amazon: Nova Lite 1.0Lowest API billing cost
Speed / TokTok/Sec
DeepSeek R1Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

DeepSeek R1 (0)Amazon: Nova Lite 1.0 (3)
DeepSeek R1
0 of 3 Wins
Competitive baseline across remaining benchmarks
Amazon: Nova Lite 1.0
3 of 3 Wins
✓Input price✓Output price✓Context window
DeepSeek
DeepSeek R1

Open-weights reasoning model trained with large-scale RL.

Elo 1,358In: $0.7 · Out: $2.5/1M
amazon
Leads 3 of 3
Amazon: Nova Lite 1.0

Auto-discovered from OpenRouter (amazon/nova-lite-v1). Preview until a second source matches.

In: $0.06 · Out: $0.24/1M

DeepSeek R1 Thinking Depth & Cost Scaler

Model A

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Full RL CoT)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Delay
420 ms
Standard
CoT Tokens
~2,800
Internal reasoning
Cost / 1k
$8.10
7.4× base bill
Accuracy Boost
+6.5%
STEM & Logic
Top Rival Showdowns for DeepSeek R1
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderAmazon: Nova Lite 1.0 Wins

Amazon: Nova Lite 1.0

$0.24 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

DeepSeek R1 (6)vsAmazon: Nova Lite 1.0 (3)
DeepSeek R1: 6W (67%)Overall: DeepSeek R1Amazon: Nova Lite 1.0: 3W (33%)
← DeepSeek R1Amazon: Nova Lite 1.0 →
🏆DeepSeek R1 Leads(4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark
DeepSeek R1vsAmazon: Nova Lite 1.0
Preference Elo
1,358vs—
Coding Elo
—vs—
SWE-bench
65.2%vs—
LiveBench
59%vs—
GPQA Diamond
79.8%vs—
DeepSeek R1: 4WAmazon: Nova Lite 1.0: 0W
🏆DeepSeek R1 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
DeepSeek R1vsAmazon: Nova Lite 1.0
Output speed
62 tok/svs—
Time to first token
420 msvs—
DeepSeek R1: 2WAmazon: Nova Lite 1.0: 0W
🏆Amazon: Nova Lite 1.0 Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
DeepSeek R1vsAmazon: Nova Lite 1.0
Output price
$2.5/1Mvs$0.24/1M+$2.26/1M
Input price
$0.7/1Mvs$0.06/1M+$0.64/1M
Context window
64kvs300k+236k
DeepSeek R1: 0WAmazon: Nova Lite 1.0: 3W

Side-by-Side Benchmark Matrix

DeepSeek R1Amazon: Nova Lite 1.0
Preference Elo
DeepSeek R11,358
Amazon: Nova Lite 1.0—
LiveBench
DeepSeek R159%
Amazon: Nova Lite 1.0—
SWE-bench
DeepSeek R165.2%
Amazon: Nova Lite 1.0—
GPQA Diamond
DeepSeek R179.8%
Amazon: Nova Lite 1.0—
Time to first token
DeepSeek R1420 ms
Amazon: Nova Lite 1.0—
Output speed
DeepSeek R162 tok/s
Amazon: Nova Lite 1.0—
Input priceAmazon: Nova Lite 1.0 +$0.64/1M
DeepSeek R1$0.7/1M
Amazon: Nova Lite 1.0$0.06/1M
Output priceAmazon: Nova Lite 1.0 +$2.26/1M
DeepSeek R1$2.5/1M
Amazon: Nova Lite 1.0$0.24/1M
Context windowAmazon: Nova Lite 1.0 +236k
DeepSeek R164k
Amazon: Nova Lite 1.0300k
BenchmarkDeepSeek R1Amazon: Nova Lite 1.0Advantage Delta
Preference Elo
1,358
lmarena · Aug 17, 2026
——
LiveBench
59%
livebench · Aug 17, 2026
——
SWE-bench
65.2%
swebench · Aug 17, 2026
——
GPQA Diamond
79.8%
seed-bootstrap · Aug 1, 2026
——
Time to first token
420 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
62 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$0.7/1M
openrouter · Aug 17, 2026
$0.06/1M
openrouter · Aug 17, 2026
+$0.64/1M
Output price
$2.5/1M
openrouter · Aug 17, 2026
$0.24/1M
openrouter · Aug 17, 2026
+$2.26/1M
Context window
64k
openrouter · Aug 17, 2026
300k
openrouter · Aug 17, 2026
+236k

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 91% with Amazon: Nova Lite 1.0
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
DeepSeek R1$62.00 / mo
In: $24.5Out: $37.5
Amazon: Nova Lite 1.0$5.70 / mo
In: $2.1Out: $3.6
Estimated Cost Delta

Amazon: Nova Lite 1.0 is estimated to save $56.30/month ($676/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Amazon: Nova Lite 1.0:Pick Amazon: Nova Lite 1.0 when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAmazon: Nova Lite 1.0

Lower output list price ($0.24/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAmazon: Nova Lite 1.0

Larger window (300k).

Screenshots / visionAmazon: Nova Lite 1.0

Amazon: Nova Lite 1.0 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatAmazon: Nova Lite 1.0Lower output list price ($0.24/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGAmazon: Nova Lite 1.0Larger window (300k).
Screenshots / visionAmazon: Nova Lite 1.0Amazon: Nova Lite 1.0 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchJan 20, 2025

DeepSeek R1 stays as the open-weights RL baseline

Jan 2025 reasoning model. Still searched. V4 Pro is the newer DeepSeek buy.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
DeepSeek

DeepSeek R1

Elo 1,358
SWE-bench65.2%
Speed (tok/s)62 tok/s
Input / 1M Tokens$0.7/1M
Output / 1M Tokens$2.5/1M
amazon

Amazon: Nova Lite 1.0

Elo n/a
SWE-bench—
Speed (tok/s)300k
Input / 1M Tokens$0.06/1M
Output / 1M Tokens$0.24/1M

Frequently Asked Questions

Which is better overall, DeepSeek R1 or Amazon: Nova Lite 1.0?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, DeepSeek R1 or Amazon: Nova Lite 1.0?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
Amazon: Nova Lite 1.0 output tokens are $0.24/1M versus $2.5/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek R1 or Amazon: Nova Lite 1.0?
We do not have TTFT for both models.
Which has the larger context window?
Amazon: Nova Lite 1.0 accepts 300k tokens versus 64k.
Can I self-host either model?
DeepSeek R1 is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. DeepSeek R1 and Amazon: Nova Lite 1.0 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Jan 20, 2025

    DeepSeek R1 stays as the open-weights RL baseline

Similar Head-to-Head Comparisons

All DeepSeek R1 matchups →|All Amazon: Nova Lite 1.0 matchups →
DeepSeek R1 vs DeepSeek V3 (previous deepseek)DeepSeek R1 vs DeepSeek V4 Pro (next deepseek)DeepSeek V4 Flash vs DeepSeek R1DeepSeek Coder V2 vs DeepSeek R1Mistral Large 3 vs DeepSeek R1Llama 4 Maverick vs DeepSeek R1