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DeepSeek V3.1 Terminus vs Granite 4.2 8B

DeepSeek V3.1 Terminus leads Granite 4.2 8B on the Artificial Analysis Intelligence Index, 14.8 to 11.1, and Granite 4.2 8B costs 5.1x less per output token ($0.20 vs $1.0142 per million). Updated October 22, 2026; 25 benchmarks have a result for both.

Replace DeepSeek V3.1 Terminus Replace Granite 4.2 8B
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
25
Granite 4.2 8BIBM Granite
Coding
No data
Overall
No data
Output $/M
$0.20
0
vs boards won of 25 shared

DeepSeek V3.1 Terminus or Granite 4.2 8B: 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 BGranite 4.2 8BIBM GraniteNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
25
DeepSeek V3.1 Terminus only
20
Granite 4.2 8B only
2
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
DeepSeek V3.1 Terminus not benchmarked, Granite 4.2 8B not benchmarked.
Widest category
General, 20.2 points apart on average over 11 shared benchmarks.
Widest single gap
LMArena Text: creative writing: DeepSeek V3.1 Terminus 1403 against Granite 4.2 8B 1236, 27.9 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against Granite 4.2 8B $0.20 per million output tokens, 5.1x apart.
Context window
DeepSeek V3.1 Terminus takes 164K tokens, Granite 4.2 8B 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 TerminusBarsGranite 4.2 8BTies
Coding40
Intelligence10
Agentic work10
Reasoning40
Knowledge40
General110
All shared boards250
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V3.1 Terminus and Granite 4.2 8B
BenchmarkDeepSeek V3.1 TerminusGranite 4.2 8BLeader
AA Coding Index43.522.4DeepSeek V3.1 Terminus
LiveCodeBench (Artificial Analysis run)79.8%Not measuredOnly DeepSeek V3.1 Terminus measured
SciCode38.0%31.5%DeepSeek V3.1 Terminus
Terminal-Bench Hard (Artificial Analysis run)31.8%Not measuredOnly DeepSeek V3.1 Terminus measured
ALE-Bench745.2Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: coding14251378DeepSeek V3.1 Terminus
LMArena Text: software and IT14261367DeepSeek V3.1 Terminus
Neither model has a result on the other 36 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V3.1 Terminus and Granite 4.2 8B
BenchmarkDeepSeek V3.1 TerminusGranite 4.2 8BLeader
AA Intelligence Index14.811.1DeepSeek V3.1 Terminus
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V3.1 Terminus and Granite 4.2 8B
BenchmarkDeepSeek V3.1 TerminusGranite 4.2 8BLeader
AA Agentic Index6.81.3DeepSeek V3.1 Terminus
τ²-Bench Telecom37.1%Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for DeepSeek V3.1 Terminus and Granite 4.2 8B
BenchmarkDeepSeek V3.1 TerminusGranite 4.2 8BLeader
GPQA Diamond (Artificial Analysis run)79.2%63.1%DeepSeek V3.1 Terminus
Humanity's Last Exam (Artificial Analysis run)16.4%9.7%DeepSeek V3.1 Terminus
LMArena Text: hard prompts14261327DeepSeek V3.1 Terminus
LMArena Text: expertNot measured1386Only Granite 4.2 8B measured
LMArena Text: hard prompts in English14321345DeepSeek V3.1 Terminus
Kagi LLM Benchmark57.4%Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for DeepSeek V3.1 Terminus and Granite 4.2 8B
BenchmarkDeepSeek V3.1 TerminusGranite 4.2 8BLeader
AA Math Index89.7Not measuredOnly DeepSeek V3.1 Terminus measured
AIME 2025 (Artificial Analysis run)89.7%Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: math1402Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V3.1 Terminus and Granite 4.2 8B
BenchmarkDeepSeek V3.1 TerminusGranite 4.2 8BLeader
MMLU Pro (Artificial Analysis run)85.1%Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: science14511336DeepSeek V3.1 Terminus
LMArena Text: medicine and healthcare14681336DeepSeek V3.1 Terminus
LMArena Text: legal and government14571327DeepSeek V3.1 Terminus
LMArena Text: business and finance14141322DeepSeek V3.1 Terminus
Neither model has a result on the other 15 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 Granite 4.2 8B
BenchmarkDeepSeek V3.1 TerminusGranite 4.2 8BLeader
Design Arena: websites1187Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: UI components1180Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: game dev1131Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: data viz1168Not 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 index110
General benchmarks for DeepSeek V3.1 Terminus and Granite 4.2 8B
BenchmarkDeepSeek V3.1 TerminusGranite 4.2 8BLeader
IFBench57.0%Not measuredOnly DeepSeek V3.1 Terminus measured
Long context reasoning (AA-LCR)69.3%45.0%DeepSeek V3.1 Terminus
DTBench81.3%Not measuredOnly DeepSeek V3.1 Terminus measured
LMCA28.6%Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text14191319DeepSeek V3.1 Terminus
LMArena Text: instruction following14041300DeepSeek V3.1 Terminus
LMArena Text: creative writing14031236DeepSeek V3.1 Terminus
LMArena Text: English14291337DeepSeek V3.1 Terminus
LMArena Text: non-English14081301DeepSeek V3.1 Terminus
LMArena Text: ChineseNot measured1367Only Granite 4.2 8B measured
LMArena Text: Russian14351282DeepSeek V3.1 Terminus
LMArena Text: Polish1427Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: multi-turn14111301DeepSeek V3.1 Terminus
LMArena Text: longer queries14221325DeepSeek V3.1 Terminus
LMArena Text: writing and language14091269DeepSeek V3.1 Terminus
LMArena Text: entertainment and media13911271DeepSeek V3.1 Terminus
Neither model has a result on the other 32 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 Granite 4.2 8B
BenchmarkDeepSeek V3.1 TerminusGranite 4.2 8BLeader
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
Granite 4.2 8B$0.0002Fits in one request

Granite 4.2 8B costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.1 Terminus$0.018Fits in one request
Granite 4.2 8B$0.0046Fits in one request

Granite 4.2 8B costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.1 Terminus$0.071Exceeds the context window
Granite 4.2 8B$0.018Exceeds the context window

Granite 4.2 8B 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 Granite 4.2 8B
SpecificationDeepSeek V3.1 TerminusIBM Granite 4.2 8B
MakerDeepSeekIBM Granite
WeightsOpen weightsOpen weights
ReleasedSeptember 22, 2025August 31, 2026
Context window164K131K
Input $/Mtok$0.3063$0.08
Output $/Mtok$1.0142$0.20
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 Granite 4.2 8B 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 Granite 4.2 8B?

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 per million output tokens; Granite 4.2 8B costs $0.08 and $0.20. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V3.1 Terminus or Granite 4.2 8B?

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

How many benchmarks is the DeepSeek V3.1 Terminus vs Granite 4.2 8B comparison based on?

25 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 Granite 4.2 8B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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