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DeepSeek V4 Pro 0813 vs Granite 4.2 8B

DeepSeek V4 Pro 0813 leads Granite 4.2 8B on the Artificial Analysis Intelligence Index, 36.0 to 11.1, and Granite 4.2 8B costs 9.9x less per output token ($0.20 vs $1.98 per million). Updated October 22, 2026; 27 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0813 Replace Granite 4.2 8B
DeepSeek V4 Pro 0813DeepSeek
Coding
56.1
Overall
60.8
Output $/M
$1.98
27
Granite 4.2 8BIBM Granite
Coding
No data
Overall
No data
Output $/M
$0.20
0
vs boards won of 27 shared

DeepSeek V4 Pro 0813 or Granite 4.2 8B: which to pick

Only DeepSeek V4 Pro 0813 has a coding score, 56.1 on the Vibe Coding Index; Granite 4.2 8B has none, so the two cannot be ranked on coding.

Pick Granite 4.2 8B for output tokens 9.9x cheaper ($0.20 vs $1.98 per million).

Model ADeepSeek V4 Pro 0813DeepSeek56.1/1005 independent benchmarks$0.10 per solved taskModel BGranite 4.2 8BIBM GraniteNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
27
DeepSeek V4 Pro 0813 only
51
Granite 4.2 8B only
0
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 V4 Pro 0813 56.1 from 5 benchmarks, Granite 4.2 8B not benchmarked.
Widest category
Agentic work, 40.0 points apart on average over 1 shared benchmark.
Widest single gap
AA Coding Index: DeepSeek V4 Pro 0813 68.8 against Granite 4.2 8B 22.4, 46.4 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0813 $1.98 against Granite 4.2 8B $0.20 per million output tokens, 9.9x apart.
Context window
DeepSeek V4 Pro 0813 takes 1.05M 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 V4 Pro 0813BarsGranite 4.2 8BTies
Coding40
Intelligence10
Agentic work10
Reasoning50
Knowledge40
General120
All shared boards270
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V4 Pro 0813 and Granite 4.2 8B
BenchmarkDeepSeek V4 Pro 0813Granite 4.2 8BLeader
LMArena WebDev1582Not measuredOnly DeepSeek V4 Pro 0813 measured
AA Coding Index68.822.4DeepSeek V4 Pro 0813
LiveCodeBench (Vals AI)87.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SWE-bench Verified (Vals AI)96.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench 4 (Vals AI)14.1%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vibe Code Bench (Vals AI)82.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Code migration (Vals AI)41.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
IOI (Vals AI)51.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench 2.1 (Vals AI)54.7%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vibe Code Bench 1-100 (Vals AI)17.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SkillsBench (Vals AI)53.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
CyberBench (Vals AI)72.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
SciCode51.0%31.5%DeepSeek V4 Pro 0813
FrontierCode28.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
WeirdML66.2%Not measuredOnly DeepSeek V4 Pro 0813 measured
ALE-Bench1403.2Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: coding14691378DeepSeek V4 Pro 0813
LMArena Text: software and IT14621367DeepSeek V4 Pro 0813
LMArena WebDev: React1588Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena WebDev: HTML1566Not measuredOnly DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Pro 0813 and Granite 4.2 8B
BenchmarkDeepSeek V4 Pro 0813Granite 4.2 8BLeader
AA Intelligence Index36.011.1DeepSeek V4 Pro 0813
Epoch Capabilities Index155.6Not measuredOnly DeepSeek V4 Pro 0813 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V4 Pro 0813 and Granite 4.2 8B
BenchmarkDeepSeek V4 Pro 0813Granite 4.2 8BLeader
AA Agentic Index41.31.3DeepSeek V4 Pro 0813
SREBench (Vals AI)1.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
Finance Agent (Vals AI)50.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
Tax Agent Bench (Vals AI)26.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Legal Research Bench (Vals AI)40.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
Harvey's Legal Agent Benchmark (Vals AI)10.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Excel Modeling Benchmark (Vals AI)52.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
APEX-Agents47.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for DeepSeek V4 Pro 0813 and Granite 4.2 8B
BenchmarkDeepSeek V4 Pro 0813Granite 4.2 8BLeader
GPQA Diamond92.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
GPQA Diamond (Artificial Analysis run)92.8%63.1%DeepSeek V4 Pro 0813
Humanity's Last Exam (Artificial Analysis run)41.0%9.7%DeepSeek V4 Pro 0813
GPQA Diamond (Epoch AI run)91.7%Not measuredOnly DeepSeek V4 Pro 0813 measured
ARC-AGI90.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
ARC-AGI-261.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Chess puzzles46.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
Mystery game puzzles43.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: hard prompts14581327DeepSeek V4 Pro 0813
LMArena Text: expert14591386DeepSeek V4 Pro 0813
LMArena Text: hard prompts in English14631345DeepSeek V4 Pro 0813
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for DeepSeek V4 Pro 0813 and Granite 4.2 8B
BenchmarkDeepSeek V4 Pro 0813Granite 4.2 8BLeader
OTIS Mock AIME98.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
FrontierMath, tiers 1 to 364.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
FrontierMath, tier 426.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
ProofBench50.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: math1441Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: mathematical work1443Not measuredOnly DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V4 Pro 0813 and Granite 4.2 8B
BenchmarkDeepSeek V4 Pro 0813Granite 4.2 8BLeader
MMLU Pro87.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
LegalBench (Vals AI)82.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
CorpFin (Vals AI)65.4%Not measuredOnly DeepSeek V4 Pro 0813 measured
TaxEval (Vals AI)73.1%Not measuredOnly DeepSeek V4 Pro 0813 measured
MedCode (Vals AI)42.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SimpleQA Verified52.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: science14571336DeepSeek V4 Pro 0813
LMArena Text: medicine and healthcare14461336DeepSeek V4 Pro 0813
LMArena Text: legal and government14591327DeepSeek V4 Pro 0813
LMArena Text: business and finance14421322DeepSeek V4 Pro 0813
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 DeepSeek V4 Pro 0813 and Granite 4.2 8B
BenchmarkDeepSeek V4 Pro 0813Granite 4.2 8BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index120
General benchmarks for DeepSeek V4 Pro 0813 and Granite 4.2 8B
BenchmarkDeepSeek V4 Pro 0813Granite 4.2 8BLeader
Vals Index53.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
MedScribe (Vals AI)80.2%Not measuredOnly DeepSeek V4 Pro 0813 measured
Long context reasoning (AA-LCR)80.3%45.0%DeepSeek V4 Pro 0813
DTBench93.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMCA45.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text14461319DeepSeek V4 Pro 0813
LMArena Text: instruction following14481300DeepSeek V4 Pro 0813
LMArena Text: creative writing14391236DeepSeek V4 Pro 0813
LMArena Text: English14571337DeepSeek V4 Pro 0813
LMArena Text: non-English14311301DeepSeek V4 Pro 0813
LMArena Text: Chinese14811367DeepSeek V4 Pro 0813
LMArena Text: Korean1449Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: French1446Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: Spanish1435Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena Text: Russian14481282DeepSeek V4 Pro 0813
LMArena Text: multi-turn14541301DeepSeek V4 Pro 0813
LMArena Text: longer queries14581325DeepSeek V4 Pro 0813
LMArena Text: writing and language14431269DeepSeek V4 Pro 0813
LMArena Text: entertainment and media14241271DeepSeek V4 Pro 0813
Neither model has a result on the other 29 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Pro 0813 and Granite 4.2 8B
BenchmarkDeepSeek V4 Pro 0813Granite 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 V4 Pro 0813$0.0016Fits 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 V4 Pro 0813$0.039Fits 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 V4 Pro 0813$0.152Fits in one request
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 V4 Pro 0813 and Granite 4.2 8B
SpecificationDeepSeek V4 Pro 0813IBM Granite 4.2 8B
MakerDeepSeekIBM Granite
WeightsOpen weightsOpen weights
ReleasedAugust 12, 2026August 31, 2026
Context window1.05M131K
Input $/Mtok$0.66$0.08
Output $/Mtok$1.98$0.20
Coding index56.1Not benchmarked
Independent measurements behind it50
Cost per solved task$0.10Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0813 better than Granite 4.2 8B for coding?

Only DeepSeek V4 Pro 0813 has a coding score, 56.1 on the Vibe Coding Index; Granite 4.2 8B has none, so the two cannot be ranked on coding. Pick Granite 4.2 8B for output tokens 9.9x cheaper ($0.20 vs $1.98 per million).

Which is cheaper, DeepSeek V4 Pro 0813 or Granite 4.2 8B?

DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; Granite 4.2 8B costs $0.08 and $0.20. Cost per solved task is known for DeepSeek V4 Pro 0813 only.

Which has the bigger context window, DeepSeek V4 Pro 0813 or Granite 4.2 8B?

DeepSeek V4 Pro 0813, with 1.05M tokens against 131K.

How many benchmarks is the DeepSeek V4 Pro 0813 vs Granite 4.2 8B comparison based on?

27 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0813's coding index rests on 5 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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