Claude Opus 4.1 vs Llama 3.3 70B Instruct

Claude Opus 4.1 leads Llama 3.3 70B Instruct on the Artificial Analysis Intelligence Index, 22.8 to 7.7, and Llama 3.3 70B Instruct costs 104.2x less per output token ($0.72 vs $75.00 per million). Updated October 21, 2026; 36 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace Llama 3.3 70B Instruct

Claude Opus 4.1Anthropic

Coding: No data
Overall: 50.2
Output $/M: $75.00

Llama 3.3 70B InstructMeta Llama

Coding: No data
Overall: 26.0
Output $/M: $0.72

vs boards won of 36 shared

Claude Opus 4.1 or Llama 3.3 70B Instruct: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Claude Opus 4.1 for a larger context window (200K against 131K tokens).

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved task Model BLlama 3.3 70B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved task

363716

Shared results: 36
Claude Opus 4.1 only: 37
Llama 3.3 70B Instruct only: 16
Like-for-like categories: 6 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Claude Opus 4.1
Claude Opus 4.1 leads, 22.8 against 7.7.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.1 has a GPQA Diamond result, 76.3%.
Directional only
Math
AIME
No call
Only Claude Opus 4.1 has a AIME result, 78.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.1 has a MMLU Pro result, 87.9%.
Directional only
Web design
Design Arena: websites
No call
Only Claude Opus 4.1 has a Design Arena: websites result, 1177.
Directional only
Long documents
Listed context window
Claude Opus 4.1
Claude Opus 4.1 takes 200K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 3.3 70B Instruct
Claude Opus 4.1 $0.052, Llama 3.3 70B Instruct $0.0008 per turn.
List prices

At a glance

Coding index: Claude Opus 4.1 not benchmarked, Llama 3.3 70B Instruct not benchmarked.
Widest category: Math, 39.6 points apart on average over 3 shared benchmarks.
Widest single gap: OTIS Mock AIME: Claude Opus 4.1 68.9% against Llama 3.3 70B Instruct 5.1%, 63.8 points apart on a 0 to 100 scale.
Output price: Claude Opus 4.1 $75.00 against Llama 3.3 70B Instruct $0.72 per million output tokens, 104.2x apart.
Context window: Claude Opus 4.1 takes 200K tokens, Llama 3.3 70B Instruct 131K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
Category	Claude Opus 4.1	Bars	Llama 3.3 70B Instruct	Ties
Coding	3		0
Intelligence	2		0
Reasoning	5		0
Math	3		0
Knowledge	4		0
General	19		0
All shared boards	36		0

CodingLike-for-likeSix of these boards feed the Vibe Coding Index30

Coding benchmarks for Claude Opus 4.1 and Llama 3.3 70B Instruct
Benchmark	Claude Opus 4.1	Llama 3.3 70B Instruct	Leader
LMArena WebDev	1390	Not measured	Only Claude Opus 4.1 measured
AA Coding Index	Not measured	11.9	Only Llama 3.3 70B Instruct measured
LiveCodeBench (Vals AI)	66.5%	Not measured	Only Claude Opus 4.1 measured
LiveCodeBench (Artificial Analysis run)	Not measured	28.8%	Only Llama 3.3 70B Instruct measured
Terminal-Bench Hard (Artificial Analysis run)	Not measured	3.0%	Only Llama 3.3 70B Instruct measured
Terminal-Bench	38.0%	Not measured	Only Claude Opus 4.1 measured
WeirdML	45.9%	14.4%	Claude Opus 4.1
Cybench	42.0%	Not measured	Only Claude Opus 4.1 measured
LMArena Text: coding	1479	1268	Claude Opus 4.1
LMArena Text: software and IT	1456	1273	Claude Opus 4.1
LMArena WebDev: HTML	1399	Not measured	Only Claude Opus 4.1 measured
SciCode	4.6%	Not measured	Only Claude Opus 4.1 measured
Neither model has a result on the other 27 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20

Intelligence benchmarks for Claude Opus 4.1 and Llama 3.3 70B Instruct
Benchmark	Claude Opus 4.1	Llama 3.3 70B Instruct	Leader
AA Intelligence Index	22.8	7.7	Claude Opus 4.1
Epoch Capabilities Index	144.1	127.3	Claude Opus 4.1

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared

Agentic work benchmarks for Claude Opus 4.1 and Llama 3.3 70B Instruct
Benchmark	Claude Opus 4.1	Llama 3.3 70B Instruct	Leader
τ²-Bench Telecom	Not measured	26.6%	Only Llama 3.3 70B Instruct measured
METR time horizons	66.8%	Not measured	Only Claude Opus 4.1 measured
GDPval	43.6%	Not measured	Only Claude Opus 4.1 measured
BALROG	Not measured	23.0%	Only Llama 3.3 70B Instruct measured
DeepResearch Bench	48.3%	Not measured	Only Claude Opus 4.1 measured
Berkeley Function Calling Leaderboard (BFCL)	Not measured	31.9%	Only Llama 3.3 70B Instruct measured
Neither model has a result on the other 35 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index50

Reasoning benchmarks for Claude Opus 4.1 and Llama 3.3 70B Instruct
Benchmark	Claude Opus 4.1	Llama 3.3 70B Instruct	Leader
GPQA Diamond	76.3%	Not measured	Only Claude Opus 4.1 measured
MMMU Pro (Vals AI)	77.5%	Not measured	Only Claude Opus 4.1 measured
GPQA Diamond (Artificial Analysis run)	Not measured	49.8%	Only Llama 3.3 70B Instruct measured
Humanity's Last Exam (Artificial Analysis run)	Not measured	3.6%	Only Llama 3.3 70B Instruct measured
GPQA Diamond (Epoch AI run)	77.3%	47.4%	Claude Opus 4.1
SimpleBench	60.0%	19.9%	Claude Opus 4.1
Mystery game puzzles	21.0%	Not measured	Only Claude Opus 4.1 measured
EBR-bench	7.9%	Not measured	Only Claude Opus 4.1 measured
VPCT	35.0%	Not measured	Only Claude Opus 4.1 measured
LMArena Text: hard prompts	1442	1257	Claude Opus 4.1
LMArena Text: expert	1438	1225	Claude Opus 4.1
LMArena Text: hard prompts in English	1451	1277	Claude Opus 4.1
Neither model has a result on the other 10 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index30

Math benchmarks for Claude Opus 4.1 and Llama 3.3 70B Instruct
Benchmark	Claude Opus 4.1	Llama 3.3 70B Instruct	Leader
AIME	78.2%	Not measured	Only Claude Opus 4.1 measured
MATH 500 (Vals AI)	95.4%	Not measured	Only Claude Opus 4.1 measured
MGSM (Vals AI)	94.4%	Not measured	Only Claude Opus 4.1 measured
AA Math Index	Not measured	7.7	Only Llama 3.3 70B Instruct measured
AIME 2025 (Artificial Analysis run)	Not measured	7.7%	Only Llama 3.3 70B Instruct measured
OTIS Mock AIME	68.9%	5.1%	Claude Opus 4.1
FrontierMath, tiers 1 to 3	12.6%	Not measured	Only Claude Opus 4.1 measured
FrontierMath, tier 4	2.4%	Not measured	Only Claude Opus 4.1 measured
MATH level 5	Not measured	41.6%	Only Llama 3.3 70B Instruct measured
LMArena Text: math	1431	1267	Claude Opus 4.1
LMArena Text: mathematical work	1434	1267	Claude Opus 4.1
Neither model has a result on the other 2 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40

Knowledge benchmarks for Claude Opus 4.1 and Llama 3.3 70B Instruct
Benchmark	Claude Opus 4.1	Llama 3.3 70B Instruct	Leader
MMLU Pro	87.9%	Not measured	Only Claude Opus 4.1 measured
LegalBench (Vals AI)	83.5%	Not measured	Only Claude Opus 4.1 measured
TaxEval (Vals AI)	73.7%	Not measured	Only Claude Opus 4.1 measured
MortgageTax (Vals AI)	61.1%	Not measured	Only Claude Opus 4.1 measured
MedQA (Vals AI)	93.6%	Not measured	Only Claude Opus 4.1 measured
MedCode (Vals AI)	47.2%	Not measured	Only Claude Opus 4.1 measured
MMLU Pro (Artificial Analysis run)	Not measured	71.3%	Only Llama 3.3 70B Instruct measured
MMLU	Not measured	86.3%	Only Llama 3.3 70B Instruct measured
LMArena Text: science	1422	1284	Claude Opus 4.1
LMArena Text: medicine and healthcare	1416	1275	Claude Opus 4.1
LMArena Text: legal and government	1421	1284	Claude Opus 4.1
LMArena Text: business and finance	1406	1243	Claude Opus 4.1
FACTS Benchmark Suite	40.4%	Not measured	Only Claude Opus 4.1 measured
Neither model has a result on the other 5 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared

Web design benchmarks for Claude Opus 4.1 and Llama 3.3 70B Instruct
Benchmark	Claude Opus 4.1	Llama 3.3 70B Instruct	Leader
Design Arena: websites	1177	Not measured	Only Claude Opus 4.1 measured
Design Arena: UI components	1165	Not measured	Only Claude Opus 4.1 measured
Design Arena: game dev	1171	Not measured	Only Claude Opus 4.1 measured
Design Arena: data viz	1166	Not measured	Only Claude Opus 4.1 measured
Design Arena: 3D	1153	Not measured	Only Claude Opus 4.1 measured
Design Arena: all code categories	1171	Not measured	Only Claude Opus 4.1 measured
Design Arena: SVG	1152	Not measured	Only Claude Opus 4.1 measured
Design Arena: ASCII art	1167	Not measured	Only Claude Opus 4.1 measured
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index190

General benchmarks for Claude Opus 4.1 and Llama 3.3 70B Instruct
Benchmark	Claude Opus 4.1	Llama 3.3 70B Instruct	Leader
SAGE (Vals AI)	31.4%	Not measured	Only Claude Opus 4.1 measured
MedScribe (Vals AI)	73.9%	Not measured	Only Claude Opus 4.1 measured
IFBench	Not measured	47.1%	Only Llama 3.3 70B Instruct measured
Long context reasoning (AA-LCR)	Not measured	15.7%	Only Llama 3.3 70B Instruct measured
DTBench	80.0%	59.5%	Claude Opus 4.1
LMCA	37.1%	17.5%	Claude Opus 4.1
Fiction.LiveBench	Not measured	33.3%	Only Llama 3.3 70B Instruct measured
Creative writing (Lech Mazur)	84.7%	Not measured	Only Claude Opus 4.1 measured
LMArena Text	1419	1274	Claude Opus 4.1
LMArena Text: instruction following	1435	1242	Claude Opus 4.1
LMArena Text: creative writing	1412	1250	Claude Opus 4.1
LMArena Text: English	1433	1303	Claude Opus 4.1
LMArena Text: non-English	1405	1236	Claude Opus 4.1
LMArena Text: Chinese	1427	1217	Claude Opus 4.1
LMArena Text: German	1413	1251	Claude Opus 4.1
LMArena Text: Japanese	1377	1150	Claude Opus 4.1
LMArena Text: Korean	1381	1142	Claude Opus 4.1
LMArena Text: French	1433	1282	Claude Opus 4.1
LMArena Text: Spanish	1448	1269	Claude Opus 4.1
LMArena Text: Russian	1422	1252	Claude Opus 4.1
LMArena Text: Polish	1413	1259	Claude Opus 4.1
LMArena Text: multi-turn	1444	1280	Claude Opus 4.1
LMArena Text: longer queries	1455	1255	Claude Opus 4.1
LMArena Text: writing and language	1418	1255	Claude Opus 4.1
LMArena Text: entertainment and media	1398	1241	Claude Opus 4.1
Neither model has a result on the other 21 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Claude Opus 4.1 and Llama 3.3 70B Instruct
Benchmark	Claude Opus 4.1	Llama 3.3 70B Instruct	Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Opus 4.1$0.052Fits in one request

Llama 3.3 70B Instruct$0.0008Fits in one request

Llama 3.3 70B Instruct costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request

Llama 3.3 70B Instruct$0.025Fits in one request

Llama 3.3 70B Instruct costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window

Llama 3.3 70B Instruct$0.097Exceeds the context window

Llama 3.3 70B Instruct costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Opus 4.1 and Llama 3.3 70B Instruct
Specification	Anthropic Claude Opus 4.1	Meta Llama 3.3 70B Instruct
Maker	Anthropic	Meta Llama
Weights	No public weights listed	Open weights
Released	August 5, 2025	December 6, 2024
Context window	200K	131K
Input $/Mtok	$15.00	$0.45
Output $/Mtok	$75.00	$0.72
Coding index	Not benchmarked	Not benchmarked
Independent measurements behind it	1	0
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Claude Opus 4.1 better than Llama 3.3 70B Instruct for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for a larger context window (200K against 131K tokens).

Which is cheaper, Claude Opus 4.1 or Llama 3.3 70B Instruct?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Llama 3.3 70B Instruct costs $0.45 and $0.72. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or Llama 3.3 70B Instruct?

Claude Opus 4.1, with 200K tokens against 131K.

How many benchmarks is the Claude Opus 4.1 vs Llama 3.3 70B Instruct comparison based on?

36 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Llama 3.3 70B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

Claude Opus 4.1 or Llama 3.3 70B Instruct: which to pick

Which one for your work

Coding

Intelligence

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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