Compare · ModelsLive · 3 picked · head to head

Claude 3 Opus vs GPT-4 Turbo (batch) vs Llama 3.1 405B

Side by side · benchmarks, pricing, and signals you can act on.

Winner summary

GPT-4 Turbo (batch) wins 6 of 14 shared benchmarks. Leads in general · reasoning.

Category leads
general·GPT-4 Turbo (batch)knowledge·Llama 3.1 405Bmath·Llama 3.1 405Breasoning·GPT-4 Turbo (batch)coding·Llama 3.1 405B
Hype vs Reality
Claude 3 Opus
#276 by perf·no signal
QUIET
GPT-4 Turbo (batch)
#190 by perf·no signal
QUIET
Llama 3.1 405B
#222 by perf·no signal
QUIET
Best value
Claude 3 Opus
n/a
no price
GPT-4 Turbo (batch)
4.2 pts/$
$10.00/M
Llama 3.1 405B
n/a
no price
Vendor risk
Anthropic logo
Anthropic
$965.0B·Tier 1
Medium risk
OpenAI logo
OpenAI
$840.0B·Tier 1
Medium risk
Meta logo
Meta AI
$1.62T·Tier 1
Low risk
Head to head
Claude 3 OpusGPT-4 Turbo (batch)Llama 3.1 405B
Dtbench
GPT-4 Turbo (batch) leads by +1.8
Claude 3 Opus
36.0
GPT-4 Turbo (batch)
37.8
Llama 3.1 405B
35.6
GPQA diamond
Llama 3.1 405B leads by +5.2
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Claude 3 Opus
30.8
GPT-4 Turbo (batch)
7.8
Llama 3.1 405B
36.0
MATH level 5
Llama 3.1 405B leads by +12.3
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
Claude 3 Opus
37.5
GPT-4 Turbo (batch)
23.0
Llama 3.1 405B
49.8
MMLU
Claude 3 Opus leads by +0.1
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
Claude 3 Opus
79.5
GPT-4 Turbo (batch)
76.5
Llama 3.1 405B
79.3
OTIS Mock AIME 2024-2025
Llama 3.1 405B leads by +5.0
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude 3 Opus
4.6
GPT-4 Turbo (batch)
1.0
Llama 3.1 405B
9.6
SimpleBench
GPT-4 Turbo (batch) leads by +1.9
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Claude 3 Opus
8.2
GPT-4 Turbo (batch)
10.1
Llama 3.1 405B
7.6
WeirdML
Llama 3.1 405B leads by +2.2
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Claude 3 Opus
19.2
GPT-4 Turbo (batch)
12.4
Llama 3.1 405B
21.4
Winogrande
Llama 3.1 405B leads by +1.4
WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs.
Claude 3 Opus
77.0
GPT-4 Turbo (batch)
75.0
Llama 3.1 405B
78.4
BBH
Llama 3.1 405B leads by +10.4
BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans.
GPT-4 Turbo (batch)
66.8
Llama 3.1 405B
77.2
Cybench
Claude 3 Opus leads by +2.5
Cybench · evaluates AI on real Capture-The-Flag cybersecurity challenges, testing vulnerability analysis, exploitation, and security reasoning.
Claude 3 Opus
10.0
Llama 3.1 405B
7.5
HellaSwag
GPT-4 Turbo (batch) leads by +8.1
HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios.
GPT-4 Turbo (batch)
93.7
Llama 3.1 405B
85.6
Lmca
GPT-4 Turbo (batch) leads by +0.1
Claude 3 Opus
20.0
GPT-4 Turbo (batch)
20.1
Metr Time Horizons
GPT-4 Turbo (batch) leads by +6.6
Claude 3 Opus
29.5
GPT-4 Turbo (batch)
36.1
TriviaQA
GPT-4 Turbo (batch) leads by +2.1
TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents.
GPT-4 Turbo (batch)
84.8
Llama 3.1 405B
82.7
Full benchmark table
BenchmarkClaude 3 OpusGPT-4 Turbo (batch)Llama 3.1 405B
Dtbench
36.037.835.6
GPQA diamond
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
30.87.836.0
MATH level 5
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
37.523.049.8
MMLU
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
79.576.579.3
OTIS Mock AIME 2024-2025
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
4.61.09.6
SimpleBench
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
8.210.17.6
WeirdML
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
19.212.421.4
Winogrande
WinoGrande · large-scale commonsense reasoning benchmark where models must resolve ambiguous pronouns in carefully constructed sentence pairs.
77.075.078.4
BBH
BIG-Bench Hard · a curated subset of 23 challenging tasks from BIG-Bench where language models previously failed to outperform average humans.
n/a66.877.2
Cybench
Cybench · evaluates AI on real Capture-The-Flag cybersecurity challenges, testing vulnerability analysis, exploitation, and security reasoning.
10.0n/a7.5
HellaSwag
HellaSwag · tests commonsense reasoning by asking models to predict the most plausible continuation of everyday scenarios.
n/a93.785.6
Lmca
20.020.1n/a
Metr Time Horizons
29.536.1n/a
TriviaQA
TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents.
n/a84.882.7
Pricing · per 1M tokens · projected $/mo at 10M tokens
ModelInputOutputContextProjected $/mo
Anthropic logoClaude 3 Opusn/an/an/an/a
OpenAI logoGPT-4 Turbo (batch)$5.00$15.00128K tokens (~64 books)$75.00
Meta logoLlama 3.1 405Bn/an/an/an/a