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GPT-4 Turbo vs Llama 3.1 8B Instruct

GPT-4 Turbo leads Llama 3.1 8B Instruct on the Artificial Analysis Intelligence Index, 7.0 to 6.9, and Llama 3.1 8B Instruct costs 375.0x less per output token ($0.08 vs $30.00 per million). Updated October 22, 2026; 36 benchmarks have a result for both.

Replace GPT-4 Turbo Replace Llama 3.1 8B Instruct
GPT-4 TurboOpenAI
Coding
No data
Overall
No data
Output $/M
$30.00
35
Llama 3.1 8B InstructMeta Llama
Coding
No data
Overall
17.9
Output $/M
$0.08
1
vs boards won of 36 shared

GPT-4 Turbo 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 GPT-4 Turbo for work measured by Humanity's Last Exam (Artificial Analysis run), where it leads.

Model AGPT-4 TurboOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BLlama 3.1 8B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
36
GPT-4 Turbo only
6
Llama 3.1 8B Instruct only
15
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.

At a glance

Coding index
GPT-4 Turbo not benchmarked, Llama 3.1 8B Instruct not benchmarked.
Widest category
General, 15.8 points apart on average over 18 shared benchmarks.
Widest single gap
MMLU: GPT-4 Turbo 81.3% against Llama 3.1 8B Instruct 56.1%, 25.2 points apart on a 0 to 100 scale.
Output price
GPT-4 Turbo $30.00 against Llama 3.1 8B Instruct $0.08 per million output tokens, 375.0x apart.
Context window
GPT-4 Turbo takes 128K 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
CategoryGPT-4 TurboBarsLlama 3.1 8B InstructTies
Coding40
Intelligence20
Reasoning31
Math20
Knowledge60
General180
All shared boards351
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for GPT-4 Turbo and Llama 3.1 8B Instruct
BenchmarkGPT-4 TurboLlama 3.1 8B InstructLeader
AA Coding Index21.55.4GPT-4 Turbo
LiveCodeBench (Artificial Analysis run)29.1%11.6%GPT-4 Turbo
Terminal-Bench Hard (Artificial Analysis run)Not measured0.8%Only Llama 3.1 8B Instruct measured
WeirdMLNot measured1.7%Only Llama 3.1 8B Instruct measured
LMArena Text: coding12681195GPT-4 Turbo
LMArena Text: software and IT12671195GPT-4 Turbo
Neither model has a result on the other 33 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-4 Turbo and Llama 3.1 8B Instruct
BenchmarkGPT-4 TurboLlama 3.1 8B InstructLeader
AA Intelligence Index7.06.9GPT-4 Turbo
Epoch Capabilities Index127.3116.5GPT-4 Turbo
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for GPT-4 Turbo and Llama 3.1 8B Instruct
BenchmarkGPT-4 TurboLlama 3.1 8B InstructLeader
τ²-Bench TelecomNot measured16.4%Only Llama 3.1 8B Instruct measured
BALROGNot measured15.1%Only Llama 3.1 8B Instruct measured
Berkeley Function Calling Leaderboard (BFCL)Not measured25.8%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 index31
Reasoning benchmarks for GPT-4 Turbo and Llama 3.1 8B Instruct
BenchmarkGPT-4 TurboLlama 3.1 8B InstructLeader
GPQA Diamond (Artificial Analysis run)Not measured25.9%Only Llama 3.1 8B Instruct measured
Humanity's Last Exam (Artificial Analysis run)3.1%5.3%Llama 3.1 8B Instruct
GPQA Diamond (Epoch AI run)Not measured27.0%Only Llama 3.1 8B Instruct measured
LMArena Text: hard prompts12511175GPT-4 Turbo
LMArena Text: expert12231144GPT-4 Turbo
LMArena Text: hard prompts in English12661196GPT-4 Turbo
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GPT-4 Turbo and Llama 3.1 8B Instruct
BenchmarkGPT-4 TurboLlama 3.1 8B InstructLeader
AA Math IndexNot measured4.3Only Llama 3.1 8B Instruct measured
AIME 2025 (Artificial Analysis run)Not measured4.3%Only Llama 3.1 8B Instruct measured
OTIS Mock AIMENot measured1.7%Only Llama 3.1 8B Instruct measured
MATH level 5Not measured22.9%Only Llama 3.1 8B Instruct measured
GSM8KNot measured82.4%Only Llama 3.1 8B Instruct measured
LMArena Text: math12721179GPT-4 Turbo
LMArena Text: mathematical work12681180GPT-4 Turbo
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for GPT-4 Turbo and Llama 3.1 8B Instruct
BenchmarkGPT-4 TurboLlama 3.1 8B InstructLeader
LegalBench (Vals AI)80.5%Not measuredOnly GPT-4 Turbo measured
MedQA (Vals AI)82.0%Not measuredOnly GPT-4 Turbo measured
MMLU Pro (Artificial Analysis run)69.4%47.6%GPT-4 Turbo
MMLU81.3%56.1%GPT-4 Turbo
LMArena Text: science12561193GPT-4 Turbo
LMArena Text: medicine and healthcare12391182GPT-4 Turbo
LMArena Text: legal and government12651206GPT-4 Turbo
LMArena Text: business and finance12221166GPT-4 Turbo
Neither model has a result on the other 10 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-4 Turbo and Llama 3.1 8B Instruct
BenchmarkGPT-4 TurboLlama 3.1 8B InstructLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for GPT-4 Turbo and Llama 3.1 8B Instruct
BenchmarkGPT-4 TurboLlama 3.1 8B InstructLeader
IFBenchNot measured28.6%Only Llama 3.1 8B Instruct measured
Long context reasoning (AA-LCR)Not measured18.0%Only Llama 3.1 8B Instruct measured
DTBench61.6%50.9%GPT-4 Turbo
LMCA9.8%5.4%GPT-4 Turbo
PIQANot measured81.2%Only Llama 3.1 8B Instruct measured
LMArena Text12721187GPT-4 Turbo
LMArena Text: instruction following12491159GPT-4 Turbo
LMArena Text: creative writing12681154GPT-4 Turbo
LMArena Vision1090Not measuredOnly GPT-4 Turbo measured
LMArena Text: English12911218GPT-4 Turbo
LMArena Text: non-English12451148GPT-4 Turbo
LMArena Text: Chinese12421151GPT-4 Turbo
LMArena Text: German12591144GPT-4 Turbo
LMArena Text: Japanese11941061GPT-4 Turbo
LMArena Text: Korean11871053GPT-4 Turbo
LMArena Text: French12761178GPT-4 Turbo
LMArena Text: Spanish12601169GPT-4 Turbo
LMArena Text: Russian12591158GPT-4 Turbo
LMArena Text: Polish1302Not measuredOnly GPT-4 Turbo measured
LMArena Text: multi-turn12671172GPT-4 Turbo
LMArena Text: longer queries12541181GPT-4 Turbo
LMArena Text: writing and language12791162GPT-4 Turbo
LMArena Text: entertainment and media12581145GPT-4 Turbo
LMArena Vision: English1097Not measuredOnly GPT-4 Turbo measured
LMArena Vision: Chinese1045Not measuredOnly GPT-4 Turbo measured
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 GPT-4 Turbo and Llama 3.1 8B Instruct
BenchmarkGPT-4 TurboLlama 3.1 8B InstructLeader
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

GPT-4 Turbo$0.025Fits 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

GPT-4 Turbo$0.590Fits 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

GPT-4 Turbo$2.30Exceeds the context window
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 GPT-4 Turbo and Llama 3.1 8B Instruct
SpecificationOpenAI GPT-4 TurboMeta Llama 3.1 8B Instruct
MakerOpenAIMeta Llama
WeightsNo public weights listedOpen weights
ReleasedApril 9, 2024July 23, 2024
Context window128K131K
Input $/Mtok$10.00$0.05
Output $/Mtok$30.00$0.08
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4 Turbo 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 GPT-4 Turbo for work measured by Humanity's Last Exam (Artificial Analysis run), where it leads.

Which is cheaper, GPT-4 Turbo or Llama 3.1 8B Instruct?

GPT-4 Turbo costs $10.00 per million input tokens and $30.00 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, GPT-4 Turbo or Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct, with 131K tokens against 128K.

How many benchmarks is the GPT-4 Turbo vs Llama 3.1 8B Instruct comparison based on?

36 benchmarks have a result for both models as of October 22, 2026. GPT-4 Turbo'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.

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