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DeepSeek V3.1 Terminus vs Llama 4 Scout

DeepSeek V3.1 Terminus leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 14.8 to 6.5, and Llama 4 Scout costs 2.0x less per output token ($0.50 vs $1.0142 per million). Updated October 22, 2026; 42 benchmarks have a result for both.

Replace DeepSeek V3.1 Terminus Replace Llama 4 Scout
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
42
Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
0
vs boards won of 42 shared

DeepSeek V3.1 Terminus or Llama 4 Scout: which to pick

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

Compare them on price, context and the boards below.

Model ADeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BLlama 4 ScoutMeta LlamaNot benchmarkedNo coding benchmark$1.276 per solved task
Shared results
42
DeepSeek V3.1 Terminus only
3
Llama 4 Scout only
40
Like-for-like categories
8 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
DeepSeek V3.1 Terminus not benchmarked, Llama 4 Scout not benchmarked.
Widest category
Math, 56.8 points apart on average over 3 shared benchmarks.
Widest single gap
AA Math Index: DeepSeek V3.1 Terminus 89.7 against Llama 4 Scout 14.0, 75.7 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against Llama 4 Scout $0.50 per million output tokens, 2.0x apart.
Context window
DeepSeek V3.1 Terminus takes 164K tokens, Llama 4 Scout 1.31M.

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
CategoryDeepSeek V3.1 TerminusBarsLlama 4 ScoutTies
Coding60
Intelligence10
Agentic work20
Reasoning50
Math30
Knowledge50
Web design50
General150
All shared boards420
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for DeepSeek V3.1 Terminus and Llama 4 Scout
BenchmarkDeepSeek V3.1 TerminusLlama 4 ScoutLeader
SWE-bench VerifiedNot measured9.1%Only Llama 4 Scout measured
AA Coding Index43.58.2DeepSeek V3.1 Terminus
LiveCodeBench (Vals AI)Not measured38.5%Only Llama 4 Scout measured
LiveCodeBench (Artificial Analysis run)79.8%29.9%DeepSeek V3.1 Terminus
SciCode38.0%21.3%DeepSeek V3.1 Terminus
Terminal-Bench Hard (Artificial Analysis run)31.8%1.5%DeepSeek V3.1 Terminus
ALE-Bench745.2Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: coding14251286DeepSeek V3.1 Terminus
LMArena Text: software and IT14261286DeepSeek V3.1 Terminus
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V3.1 Terminus and Llama 4 Scout
BenchmarkDeepSeek V3.1 TerminusLlama 4 ScoutLeader
AA Intelligence Index14.86.5DeepSeek V3.1 Terminus
Epoch Capabilities IndexNot measured129.6Only Llama 4 Scout measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for DeepSeek V3.1 Terminus and Llama 4 Scout
BenchmarkDeepSeek V3.1 TerminusLlama 4 ScoutLeader
AA Agentic Index6.80.5DeepSeek V3.1 Terminus
τ²-Bench Telecom37.1%15.5%DeepSeek V3.1 Terminus
Berkeley Function Calling Leaderboard (BFCL)Not measured28.1%Only Llama 4 Scout measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for DeepSeek V3.1 Terminus and Llama 4 Scout
BenchmarkDeepSeek V3.1 TerminusLlama 4 ScoutLeader
GPQA DiamondNot measured47.0%Only Llama 4 Scout measured
MMMU Pro (Vals AI)Not measured58.8%Only Llama 4 Scout measured
GPQA Diamond (Artificial Analysis run)79.2%58.7%DeepSeek V3.1 Terminus
Humanity's Last Exam (Artificial Analysis run)16.4%3.8%DeepSeek V3.1 Terminus
GPQA Diamond (Epoch AI run)Not measured51.8%Only Llama 4 Scout measured
ARC-AGINot measured0.5%Only Llama 4 Scout measured
ARC-AGI-2Not measured0.0%Only Llama 4 Scout measured
LMArena Text: hard prompts14261266DeepSeek V3.1 Terminus
LMArena Text: expertNot measured1235Only Llama 4 Scout measured
LMArena Text: hard prompts in English14321293DeepSeek V3.1 Terminus
LMArena Vision: diagramsNot measured1125Only Llama 4 Scout measured
LMArena Vision: homeworkNot measured1148Only Llama 4 Scout measured
Kagi LLM Benchmark57.4%36.9%DeepSeek V3.1 Terminus
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for DeepSeek V3.1 Terminus and Llama 4 Scout
BenchmarkDeepSeek V3.1 TerminusLlama 4 ScoutLeader
AIMENot measured19.0%Only Llama 4 Scout measured
MATH 500 (Vals AI)Not measured79.2%Only Llama 4 Scout measured
MGSM (Vals AI)Not measured88.0%Only Llama 4 Scout measured
AA Math Index89.714.0DeepSeek V3.1 Terminus
AIME 2025 (Artificial Analysis run)89.7%14.0%DeepSeek V3.1 Terminus
OTIS Mock AIMENot measured7.8%Only Llama 4 Scout measured
MATH level 5Not measured62.3%Only Llama 4 Scout measured
LMArena Text: math14021287DeepSeek V3.1 Terminus
LMArena Text: mathematical workNot measured1286Only Llama 4 Scout measured
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for DeepSeek V3.1 Terminus and Llama 4 Scout
BenchmarkDeepSeek V3.1 TerminusLlama 4 ScoutLeader
MMLU ProNot measured69.6%Only Llama 4 Scout measured
LegalBench (Vals AI)Not measured72.0%Only Llama 4 Scout measured
CorpFin (Vals AI)Not measured46.8%Only Llama 4 Scout measured
TaxEval (Vals AI)Not measured55.2%Only Llama 4 Scout measured
MortgageTax (Vals AI)Not measured57.8%Only Llama 4 Scout measured
MedQA (Vals AI)Not measured50.9%Only Llama 4 Scout measured
MedCode (Vals AI)Not measured23.3%Only Llama 4 Scout measured
MMLU Pro (Artificial Analysis run)85.1%75.2%DeepSeek V3.1 Terminus
LMArena Text: science14511278DeepSeek V3.1 Terminus
LMArena Text: medicine and healthcare14681275DeepSeek V3.1 Terminus
LMArena Text: legal and government14571285DeepSeek V3.1 Terminus
LMArena Text: business and finance14141257DeepSeek V3.1 Terminus
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for DeepSeek V3.1 Terminus and Llama 4 Scout
BenchmarkDeepSeek V3.1 TerminusLlama 4 ScoutLeader
Design Arena: websites1187750DeepSeek V3.1 Terminus
Design Arena: UI components1180765DeepSeek V3.1 Terminus
Design Arena: game dev1131772DeepSeek V3.1 Terminus
Design Arena: data viz1168896DeepSeek V3.1 Terminus
Design Arena: 3D1141Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: all code categories1175789DeepSeek V3.1 Terminus
Design Arena: SVG1065Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
General benchmarks for DeepSeek V3.1 Terminus and Llama 4 Scout
BenchmarkDeepSeek V3.1 TerminusLlama 4 ScoutLeader
SAGE (Vals AI)Not measured34.8%Only Llama 4 Scout measured
MedScribe (Vals AI)Not measured50.6%Only Llama 4 Scout measured
IFBench57.0%39.5%DeepSeek V3.1 Terminus
Long context reasoning (AA-LCR)69.3%27.7%DeepSeek V3.1 Terminus
DTBench81.3%57.9%DeepSeek V3.1 Terminus
LMCA28.6%12.0%DeepSeek V3.1 Terminus
Fiction.LiveBenchNot measured36.0%Only Llama 4 Scout measured
LMArena Text14191279DeepSeek V3.1 Terminus
LMArena Text: instruction following14041248DeepSeek V3.1 Terminus
LMArena Text: creative writing14031249DeepSeek V3.1 Terminus
LMArena VisionNot measured1118Only Llama 4 Scout measured
LMArena Text: English14291304DeepSeek V3.1 Terminus
LMArena Text: non-English14081252DeepSeek V3.1 Terminus
LMArena Text: ChineseNot measured1255Only Llama 4 Scout measured
LMArena Text: GermanNot measured1273Only Llama 4 Scout measured
LMArena Text: JapaneseNot measured1206Only Llama 4 Scout measured
LMArena Text: KoreanNot measured1207Only Llama 4 Scout measured
LMArena Text: FrenchNot measured1283Only Llama 4 Scout measured
LMArena Text: SpanishNot measured1278Only Llama 4 Scout measured
LMArena Text: Russian14351263DeepSeek V3.1 Terminus
LMArena Text: Polish14271265DeepSeek V3.1 Terminus
LMArena Text: multi-turn14111280DeepSeek V3.1 Terminus
LMArena Text: longer queries14221265DeepSeek V3.1 Terminus
LMArena Text: writing and language14091269DeepSeek V3.1 Terminus
LMArena Text: entertainment and media13911242DeepSeek V3.1 Terminus
LMArena Vision: EnglishNot measured1143Only Llama 4 Scout measured
LMArena Vision: ChineseNot measured1106Only Llama 4 Scout measured
LMArena Vision: reading textNot measured1117Only Llama 4 Scout measured
LMArena Vision: humorNot measured1102Only Llama 4 Scout measured
LMArena Vision: creative writingNot measured1126Only Llama 4 Scout measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.1 Terminus and Llama 4 Scout
BenchmarkDeepSeek V3.1 TerminusLlama 4 ScoutLeader
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

DeepSeek V3.1 Terminus$0.0008Fits in one request
Llama 4 Scout$0.0004Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.1 Terminus$0.018Fits in one request
Llama 4 Scout$0.010Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.1 Terminus$0.071Exceeds the context window
Llama 4 Scout$0.040Fits in one request

Llama 4 Scout 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 DeepSeek V3.1 Terminus and Llama 4 Scout
SpecificationDeepSeek V3.1 TerminusMeta Llama 4 Scout
MakerDeepSeekMeta Llama
WeightsOpen weightsOpen weights
ReleasedSeptember 22, 2025April 5, 2025
Context window164K1.31M
Input $/Mtok$0.3063$0.175
Output $/Mtok$1.0142$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computable$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 Terminus better than Llama 4 Scout for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, DeepSeek V3.1 Terminus or Llama 4 Scout?

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 per million output tokens; Llama 4 Scout costs $0.175 and $0.50. Cost per solved task is known for Llama 4 Scout only.

Which has the bigger context window, DeepSeek V3.1 Terminus or Llama 4 Scout?

Llama 4 Scout, with 1.31M tokens against 164K.

How many benchmarks is the DeepSeek V3.1 Terminus vs Llama 4 Scout comparison based on?

42 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.1 Terminus's coding index rests on 0 independent benchmarks and Llama 4 Scout's on 0. Where only one model has a result, the page says so instead of naming a winner.

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