Model comparison

Amazon Nova Lite vs GPT-5-Codex

GPT-5-Codex is the stronger model overall, scoring 37.9 to 31.9 on the Noometry Index. Amazon Nova Lite costs 33× less per token, which makes it the better buy when GPT-5-Codex's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

Amazon Nova Lite Amazon

31.9

Rank #265 Confirmed

GPT-5-Codex OpenAI

37.9

Rank #192 Reported

Summary

  • The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 19.3.
  • Amazon Nova Lite is cheaper at $0.06 / $0.24 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
  • GPT-5-Codex accepts more context: 400K tokens versus 300K.

Side by side

Amazon Nova Lite and GPT-5-Codex specifications
Amazon Nova LiteGPT-5-Codex
ProviderAmazonOpenAI
Noometry Index31.937.9
Released2024-12-032025-09-15
WeightsProprietaryProprietary
Context window300K400K
Max output10K128K
Input $ / M tokens$0.06$1.25
Output $ / M tokens$0.24$10
Results tracked343

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Category by category

Coding GPT-5-Codex leads

Amazon Nova Lite: 32.5 (#270), GPT-5-Codex: 42.4 (#103)

Coding benchmarks
BenchmarkAmazon Nova LiteGPT-5-Codex
WeirdML—54.5%
LiveBench Coding27.5%—
LMArena Coding1239—
ALE-Bench236.25—

Agentic & Tool Use Not comparable

Amazon Nova Lite: —, GPT-5-Codex: 31.0 (#72)

Agentic & Tool Use benchmarks
BenchmarkAmazon Nova LiteGPT-5-Codex
Terminal-Bench—44.3%

Reasoning GPT-5-Codex leads

Amazon Nova Lite: 19.3 (#260), GPT-5-Codex: 30.9 (#83)

Reasoning benchmarks
BenchmarkAmazon Nova LiteGPT-5-Codex
Kagi LLM Benchmark—70.3%
LiveBench Reasoning36.7%—
LMArena Hard Prompts1220—
LiveBench Data Analysis37.2%—
LiveBench36.4%—

Math Not comparable

Amazon Nova Lite: 27.8 (#247), GPT-5-Codex: —

Math benchmarks
BenchmarkAmazon Nova LiteGPT-5-Codex
Omni-MATH23.3%—
LiveBench Math36.7%—
LMArena Math1227—

Knowledge Not comparable

Amazon Nova Lite: 26.3 (#259), GPT-5-Codex: —

Knowledge benchmarks
BenchmarkAmazon Nova LiteGPT-5-Codex
Humanity's Last Exam3.6%—
MMLU-Pro60%—
Vectara Hallucination Rate6.1%—
GPQA (HELM)39.7%—
LMArena Expert1201—
MMLU77%—

Multimodal Not comparable

Amazon Nova Lite: 25.5 (#123), GPT-5-Codex: —

Multimodal benchmarks
BenchmarkAmazon Nova LiteGPT-5-Codex
LMArena Vision990—

Multilingual Not comparable

Amazon Nova Lite: 38.0 (#232), GPT-5-Codex: —

Multilingual benchmarks
BenchmarkAmazon Nova LiteGPT-5-Codex
LMArena Non-English1208—
LMArena Chinese1225—
LMArena French1237—
LMArena German1229—
LMArena Japanese1153—
LMArena Korean1153—
LMArena Russian1216—
LMArena Spanish1226—

Instruction Following Not comparable

Amazon Nova Lite: 59.3 (#255), GPT-5-Codex: —

Instruction Following benchmarks
BenchmarkAmazon Nova LiteGPT-5-Codex
LiveBench Instruction Following54.1%—
IFEval77.6%—
LMArena Instruction Following1205—

Long Context Not comparable

Amazon Nova Lite: 37.4 (#217), GPT-5-Codex: —

Long Context benchmarks
BenchmarkAmazon Nova LiteGPT-5-Codex
LMArena Longer Query1234—

Writing & Preference Not comparable

Amazon Nova Lite: 42.1 (#237), GPT-5-Codex: —

Writing & Preference benchmarks
BenchmarkAmazon Nova LiteGPT-5-Codex
LMArena Text1229—
LMArena Creative Writing1197—
WildBench75%—
LMArena Multi-Turn1199—
LiveBench Language25.9%—

Frequently asked questions

Is Amazon Nova Lite better than GPT-5-Codex?

GPT-5-Codex is the stronger model overall, scoring 37.9 to 31.9 on the Noometry Index. Amazon Nova Lite costs 33× less per token, which makes it the better buy when GPT-5-Codex's lead doesn't matter for your workload.

Which is cheaper, Amazon Nova Lite or GPT-5-Codex?

Amazon Nova Lite is cheaper. It lists at $0.06 per million input tokens and $0.24 per million output tokens; GPT-5-Codex lists at $1.25 and $10.

Is Amazon Nova Lite or GPT-5-Codex better for coding?

GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 32.5 in the Noometry coding category.

Which has the bigger context window?

GPT-5-Codex does, with 400K tokens against 300K.

How many benchmarks do Amazon Nova Lite and GPT-5-Codex share?

0 benchmarks have published results for both models. Amazon Nova Lite has 34 scored results on Noometry and GPT-5-Codex has 3.

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