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DeepSeek V3.1 Terminus vs Llama 3.1 8B Instruct

DeepSeek V3.1 Terminus leads Llama 3.1 8B Instruct on the Artificial Analysis Intelligence Index, 14.8 to 6.9, and Llama 3.1 8B Instruct costs 12.7x less per output token ($0.08 vs $1.0142 per million). Updated October 21, 2026; 33 benchmarks have a result for both.

Replace DeepSeek V3.1 Terminus Replace Llama 3.1 8B Instruct
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
33
Llama 3.1 8B InstructMeta Llama
Coding
No data
Overall
17.9
Output $/M
$0.08
0
vs boards won of 33 shared

DeepSeek V3.1 Terminus 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 DeepSeek V3.1 Terminus for a larger context window (164K against 131K tokens).

Model ADeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BLlama 3.1 8B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
33
DeepSeek V3.1 Terminus only
12
Llama 3.1 8B Instruct only
18
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.

At a glance

Coding index
DeepSeek V3.1 Terminus not benchmarked, Llama 3.1 8B Instruct not benchmarked.
Widest category
Math, 69.3 points apart on average over 3 shared benchmarks.
Widest single gap
AA Math Index: DeepSeek V3.1 Terminus 89.7 against Llama 3.1 8B Instruct 4.3, 85.4 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against Llama 3.1 8B Instruct $0.08 per million output tokens, 12.7x apart.
Context window
DeepSeek V3.1 Terminus takes 164K 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
CategoryDeepSeek V3.1 TerminusBarsLlama 3.1 8B InstructTies
Coding50
Intelligence10
Agentic work10
Reasoning40
Math30
Knowledge50
General140
All shared boards330
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for DeepSeek V3.1 Terminus and Llama 3.1 8B Instruct
BenchmarkDeepSeek V3.1 TerminusLlama 3.1 8B InstructLeader
AA Coding Index43.55.4DeepSeek V3.1 Terminus
LiveCodeBench (Artificial Analysis run)79.8%11.6%DeepSeek V3.1 Terminus
SciCode38.0%Not measuredOnly DeepSeek V3.1 Terminus measured
Terminal-Bench Hard (Artificial Analysis run)31.8%0.8%DeepSeek V3.1 Terminus
WeirdMLNot measured1.7%Only Llama 3.1 8B Instruct measured
ALE-Bench745.2Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: coding14251195DeepSeek V3.1 Terminus
LMArena Text: software and IT14261195DeepSeek V3.1 Terminus
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V3.1 Terminus and Llama 3.1 8B Instruct
BenchmarkDeepSeek V3.1 TerminusLlama 3.1 8B InstructLeader
AA Intelligence Index14.86.9DeepSeek V3.1 Terminus
Epoch Capabilities IndexNot measured116.5Only Llama 3.1 8B Instruct measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V3.1 Terminus and Llama 3.1 8B Instruct
BenchmarkDeepSeek V3.1 TerminusLlama 3.1 8B InstructLeader
AA Agentic Index6.8Not measuredOnly DeepSeek V3.1 Terminus measured
τ²-Bench Telecom37.1%16.4%DeepSeek V3.1 Terminus
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 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for DeepSeek V3.1 Terminus and Llama 3.1 8B Instruct
BenchmarkDeepSeek V3.1 TerminusLlama 3.1 8B InstructLeader
GPQA Diamond (Artificial Analysis run)79.2%25.9%DeepSeek V3.1 Terminus
Humanity's Last Exam (Artificial Analysis run)16.4%5.3%DeepSeek V3.1 Terminus
GPQA Diamond (Epoch AI run)Not measured27.0%Only Llama 3.1 8B Instruct measured
LMArena Text: hard prompts14261175DeepSeek V3.1 Terminus
LMArena Text: expertNot measured1144Only Llama 3.1 8B Instruct measured
LMArena Text: hard prompts in English14321196DeepSeek V3.1 Terminus
Kagi LLM Benchmark57.4%Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for DeepSeek V3.1 Terminus and Llama 3.1 8B Instruct
BenchmarkDeepSeek V3.1 TerminusLlama 3.1 8B InstructLeader
AA Math Index89.74.3DeepSeek V3.1 Terminus
AIME 2025 (Artificial Analysis run)89.7%4.3%DeepSeek V3.1 Terminus
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: math14021179DeepSeek V3.1 Terminus
LMArena Text: mathematical workNot measured1180Only 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 index50
Knowledge benchmarks for DeepSeek V3.1 Terminus and Llama 3.1 8B Instruct
BenchmarkDeepSeek V3.1 TerminusLlama 3.1 8B InstructLeader
MMLU Pro (Artificial Analysis run)85.1%47.6%DeepSeek V3.1 Terminus
MMLUNot measured56.1%Only Llama 3.1 8B Instruct measured
LMArena Text: science14511193DeepSeek V3.1 Terminus
LMArena Text: medicine and healthcare14681182DeepSeek V3.1 Terminus
LMArena Text: legal and government14571206DeepSeek V3.1 Terminus
LMArena Text: business and finance14141166DeepSeek V3.1 Terminus
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for DeepSeek V3.1 Terminus and Llama 3.1 8B Instruct
BenchmarkDeepSeek V3.1 TerminusLlama 3.1 8B InstructLeader
Design Arena: websites1187Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: UI components1182Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: game dev1131Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: data viz1167Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: 3D1141Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: all code categories1175Not measuredOnly DeepSeek V3.1 Terminus measured
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 index140
General benchmarks for DeepSeek V3.1 Terminus and Llama 3.1 8B Instruct
BenchmarkDeepSeek V3.1 TerminusLlama 3.1 8B InstructLeader
IFBench57.0%28.6%DeepSeek V3.1 Terminus
Long context reasoning (AA-LCR)69.3%18.0%DeepSeek V3.1 Terminus
DTBench81.3%50.9%DeepSeek V3.1 Terminus
LMCA28.6%5.4%DeepSeek V3.1 Terminus
PIQANot measured81.2%Only Llama 3.1 8B Instruct measured
LMArena Text14191187DeepSeek V3.1 Terminus
LMArena Text: instruction following14041159DeepSeek V3.1 Terminus
LMArena Text: creative writing14031154DeepSeek V3.1 Terminus
LMArena Text: English14291218DeepSeek V3.1 Terminus
LMArena Text: non-English14081148DeepSeek V3.1 Terminus
LMArena Text: ChineseNot measured1151Only Llama 3.1 8B Instruct measured
LMArena Text: GermanNot measured1144Only Llama 3.1 8B Instruct measured
LMArena Text: JapaneseNot measured1061Only Llama 3.1 8B Instruct measured
LMArena Text: KoreanNot measured1053Only Llama 3.1 8B Instruct measured
LMArena Text: FrenchNot measured1178Only Llama 3.1 8B Instruct measured
LMArena Text: SpanishNot measured1169Only Llama 3.1 8B Instruct measured
LMArena Text: Russian14351158DeepSeek V3.1 Terminus
LMArena Text: Polish1427Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: multi-turn14111172DeepSeek V3.1 Terminus
LMArena Text: longer queries14221181DeepSeek V3.1 Terminus
LMArena Text: writing and language14091162DeepSeek V3.1 Terminus
LMArena Text: entertainment and media13911145DeepSeek V3.1 Terminus
Neither model has a result on the other 24 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 3.1 8B Instruct
BenchmarkDeepSeek V3.1 TerminusLlama 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

DeepSeek V3.1 Terminus$0.0008Fits 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

DeepSeek V3.1 Terminus$0.018Fits 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

DeepSeek V3.1 Terminus$0.071Exceeds 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 DeepSeek V3.1 Terminus and Llama 3.1 8B Instruct
SpecificationDeepSeek V3.1 TerminusMeta Llama 3.1 8B Instruct
MakerDeepSeekMeta Llama
WeightsOpen weightsOpen weights
ReleasedSeptember 22, 2025July 23, 2024
Context window164K131K
Input $/Mtok$0.3063$0.05
Output $/Mtok$1.0142$0.08
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 Terminus 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 DeepSeek V3.1 Terminus for a larger context window (164K against 131K tokens).

Which is cheaper, DeepSeek V3.1 Terminus or Llama 3.1 8B Instruct?

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 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, DeepSeek V3.1 Terminus or Llama 3.1 8B Instruct?

DeepSeek V3.1 Terminus, with 164K tokens against 131K.

How many benchmarks is the DeepSeek V3.1 Terminus vs Llama 3.1 8B Instruct comparison based on?

33 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.1 Terminus'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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