Nova Premier 1.0 vs Llama 3.1 8B Instruct

Nova Premier 1.0 leads Llama 3.1 8B Instruct on the Artificial Analysis Intelligence Index, 9.2 to 6.9, and Llama 3.1 8B Instruct costs 156.3x less per output token ($0.08 vs $12.50 per million). Updated October 21, 2026; 11 benchmarks have a result for both.

Replace Nova Premier 1.0 Replace Llama 3.1 8B Instruct

Nova Premier 1.0Amazon

Coding: No data
Overall: No data
Output $/M: $12.50

Llama 3.1 8B InstructMeta Llama

Coding: No data
Overall: 17.9
Output $/M: $0.08

vs boards won of 11 shared

Nova Premier 1.0 or Llama 3.1 8B Instruct: which to pick

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

Pick Nova Premier 1.0 for a larger context window (1M against 131K tokens) and work measured by Humanity's Last Exam (Artificial Analysis run), where it leads.

Model ANova Premier 1.0AmazonNot benchmarkedNo coding benchmarkNo cost per solved task Model BLlama 3.1 8B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved task

11340

Shared results: 11
Nova Premier 1.0 only: 3
Llama 3.1 8B Instruct only: 40
Like-for-like categories: 7 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
Nova Premier 1.0
Nova Premier 1.0 leads, 9.2 against 6.9.
Same board, both measured
Web design
Design Arena: websites
No call
Only Nova Premier 1.0 has a Design Arena: websites result, 835.
Directional only
Long documents
Listed context window
Nova Premier 1.0
Nova Premier 1.0 takes 1M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 3.1 8B Instruct
Nova Premier 1.0 $0.0088, Llama 3.1 8B Instruct $0.0001 per turn.
List prices

At a glance

Coding index: Nova Premier 1.0 not benchmarked, Llama 3.1 8B Instruct not benchmarked.
Widest category: Knowledge, 25.7 points apart on average over 1 shared benchmark.
Widest single gap: GPQA Diamond (Artificial Analysis run): Nova Premier 1.0 56.9% against Llama 3.1 8B Instruct 25.9%, 31.0 points apart on a 0 to 100 scale.
Output price: Nova Premier 1.0 $12.50 against Llama 3.1 8B Instruct $0.08 per million output tokens, 156.3x apart.
Context window: Nova Premier 1.0 takes 1M tokens, Llama 3.1 8B 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	Nova Premier 1.0	Llama 3.1 8B Instruct
Coding	2	0
Intelligence	1	0
Agentic work	1	0
Reasoning	1	1
Math	2	0
Knowledge	1	0
General	2	0
All shared boards	10	1

CodingLike-for-likeSix of these boards feed the Vibe Coding Index20

Coding benchmarks for Nova Premier 1.0 and Llama 3.1 8B Instruct
Benchmark	Nova Premier 1.0	Llama 3.1 8B Instruct	Leader
AA Coding Index	Not measured	5.4	Only Llama 3.1 8B Instruct measured
LiveCodeBench (Artificial Analysis run)	31.7%	11.6%	Nova Premier 1.0
Terminal-Bench Hard (Artificial Analysis run)	6.8%	0.8%	Nova Premier 1.0
WeirdML	Not measured	1.7%	Only Llama 3.1 8B Instruct measured
ALE-Bench	147.4	Not measured	Only Nova Premier 1.0 measured
LMArena Text: coding	Not measured	1195	Only Llama 3.1 8B Instruct measured
LMArena Text: software and IT	Not measured	1195	Only Llama 3.1 8B Instruct measured
Neither model has a result on the other 32 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10

Intelligence benchmarks for Nova Premier 1.0 and Llama 3.1 8B Instruct
Benchmark	Nova Premier 1.0	Llama 3.1 8B Instruct	Leader
AA Intelligence Index	9.2	6.9	Nova Premier 1.0
Epoch Capabilities Index	Not measured	116.5	Only Llama 3.1 8B Instruct measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index10

Agentic work benchmarks for Nova Premier 1.0 and Llama 3.1 8B Instruct
Benchmark	Nova Premier 1.0	Llama 3.1 8B Instruct	Leader
τ²-Bench Telecom	38.3%	16.4%	Nova Premier 1.0
BALROG	Not measured	15.1%	Only Llama 3.1 8B Instruct measured
Berkeley Function Calling Leaderboard (BFCL)	Not measured	25.8%	Only Llama 3.1 8B Instruct measured
Neither model has a result on the other 38 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index11

Reasoning benchmarks for Nova Premier 1.0 and Llama 3.1 8B Instruct
Benchmark	Nova Premier 1.0	Llama 3.1 8B Instruct	Leader
GPQA Diamond (Artificial Analysis run)	56.9%	25.9%	Nova Premier 1.0
Humanity's Last Exam (Artificial Analysis run)	4.2%	5.3%	Llama 3.1 8B Instruct
GPQA Diamond (Epoch AI run)	Not measured	27.0%	Only Llama 3.1 8B Instruct measured
LMArena Text: hard prompts	Not measured	1175	Only Llama 3.1 8B Instruct measured
LMArena Text: expert	Not measured	1144	Only Llama 3.1 8B Instruct measured
LMArena Text: hard prompts in English	Not measured	1196	Only Llama 3.1 8B Instruct measured
Kagi LLM Benchmark	44.8%	Not measured	Only Nova Premier 1.0 measured
Neither model has a result on the other 15 boards here

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

Math benchmarks for Nova Premier 1.0 and Llama 3.1 8B Instruct
Benchmark	Nova Premier 1.0	Llama 3.1 8B Instruct	Leader
AA Math Index	17.3	4.3	Nova Premier 1.0
AIME 2025 (Artificial Analysis run)	17.3%	4.3%	Nova Premier 1.0
OTIS Mock AIME	Not measured	1.7%	Only Llama 3.1 8B Instruct measured
MATH level 5	Not measured	22.9%	Only Llama 3.1 8B Instruct measured
GSM8K	Not measured	82.4%	Only Llama 3.1 8B Instruct measured
LMArena Text: math	Not measured	1179	Only Llama 3.1 8B Instruct measured
LMArena Text: mathematical work	Not measured	1180	Only Llama 3.1 8B Instruct measured
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10

Knowledge benchmarks for Nova Premier 1.0 and Llama 3.1 8B Instruct
Benchmark	Nova Premier 1.0	Llama 3.1 8B Instruct	Leader
MMLU Pro (Artificial Analysis run)	73.3%	47.6%	Nova Premier 1.0
MMLU	Not measured	56.1%	Only Llama 3.1 8B Instruct measured
LMArena Text: science	Not measured	1193	Only Llama 3.1 8B Instruct measured
LMArena Text: medicine and healthcare	Not measured	1182	Only Llama 3.1 8B Instruct measured
LMArena Text: legal and government	Not measured	1206	Only Llama 3.1 8B Instruct measured
LMArena Text: business and finance	Not measured	1166	Only Llama 3.1 8B Instruct measured
Neither model has a result on the other 12 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared

Web design benchmarks for Nova Premier 1.0 and Llama 3.1 8B Instruct
Benchmark	Nova Premier 1.0	Llama 3.1 8B Instruct	Leader
Design Arena: websites	835	Not measured	Only Nova Premier 1.0 measured
Neither model has a result on the other 8 boards here

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

General benchmarks for Nova Premier 1.0 and Llama 3.1 8B Instruct
Benchmark	Nova Premier 1.0	Llama 3.1 8B Instruct	Leader
IFBench	36.2%	28.6%	Nova Premier 1.0
Long context reasoning (AA-LCR)	34.3%	18.0%	Nova Premier 1.0
DTBench	Not measured	50.9%	Only Llama 3.1 8B Instruct measured
LMCA	Not measured	5.4%	Only Llama 3.1 8B Instruct measured
PIQA	Not measured	81.2%	Only Llama 3.1 8B Instruct measured
LMArena Text	Not measured	1187	Only Llama 3.1 8B Instruct measured
LMArena Text: instruction following	Not measured	1159	Only Llama 3.1 8B Instruct measured
LMArena Text: creative writing	Not measured	1154	Only Llama 3.1 8B Instruct measured
LMArena Text: English	Not measured	1218	Only Llama 3.1 8B Instruct measured
LMArena Text: non-English	Not measured	1148	Only Llama 3.1 8B Instruct measured
LMArena Text: Chinese	Not measured	1151	Only Llama 3.1 8B Instruct measured
LMArena Text: German	Not measured	1144	Only Llama 3.1 8B Instruct measured
LMArena Text: Japanese	Not measured	1061	Only Llama 3.1 8B Instruct measured
LMArena Text: Korean	Not measured	1053	Only Llama 3.1 8B Instruct measured
LMArena Text: French	Not measured	1178	Only Llama 3.1 8B Instruct measured
LMArena Text: Spanish	Not measured	1169	Only Llama 3.1 8B Instruct measured
LMArena Text: Russian	Not measured	1158	Only Llama 3.1 8B Instruct measured
LMArena Text: multi-turn	Not measured	1172	Only Llama 3.1 8B Instruct measured
LMArena Text: longer queries	Not measured	1181	Only Llama 3.1 8B Instruct measured
LMArena Text: writing and language	Not measured	1162	Only Llama 3.1 8B Instruct measured
LMArena Text: entertainment and media	Not measured	1145	Only Llama 3.1 8B Instruct measured
Neither model has a result on the other 25 boards here

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

Image generation benchmarks for Nova Premier 1.0 and Llama 3.1 8B Instruct
Benchmark	Nova Premier 1.0	Llama 3.1 8B 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

Nova Premier 1.0$0.0088Fits in one request

Llama 3.1 8B Instruct$0.0001Fits in one request

Llama 3.1 8B Instruct costs less

Repository review

50K input + 3K output tokens

Nova Premier 1.0$0.163Fits in one request

Llama 3.1 8B Instruct$0.0027Fits in one request

Llama 3.1 8B Instruct costs less

Agent loop

200K input + 10K output tokens

Nova Premier 1.0$0.625Fits in one request

Llama 3.1 8B Instruct$0.011Exceeds the context window

Llama 3.1 8B 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 Nova Premier 1.0 and Llama 3.1 8B Instruct
Specification	Amazon Nova Premier 1.0	Meta Llama 3.1 8B Instruct
Maker	Amazon	Meta Llama
Weights	No public weights listed	Open weights
Released	October 31, 2025	July 23, 2024
Context window	1M	131K
Input $/Mtok	$2.50	$0.05
Output $/Mtok	$12.50	$0.08
Coding index	Not benchmarked	Not benchmarked
Independent measurements behind it	0	0
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Nova Premier 1.0 better than Llama 3.1 8B Instruct for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Premier 1.0 for a larger context window (1M against 131K tokens) and work measured by Humanity's Last Exam (Artificial Analysis run), where it leads.

Which is cheaper, Nova Premier 1.0 or Llama 3.1 8B Instruct?

Nova Premier 1.0 costs $2.50 per million input tokens and $12.50 per million output tokens; Llama 3.1 8B Instruct costs $0.05 and $0.08. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova Premier 1.0 or Llama 3.1 8B Instruct?

Nova Premier 1.0, with 1M tokens against 131K.

How many benchmarks is the Nova Premier 1.0 vs Llama 3.1 8B Instruct comparison based on?

11 benchmarks have a result for both models as of October 21, 2026. Nova Premier 1.0's coding index rests on 0 independent benchmarks and Llama 3.1 8B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

Nova Premier 1.0 or Llama 3.1 8B Instruct: which to pick

Which one for your work

Coding

Intelligence

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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