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Granite 4.1 8B vs DeepSeek V3.1

Detailed technical comparison between Granite 4.1 8B (IBM) and DeepSeek V3.1 (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Granite 4.1 8B: 0 WinsvsDeepSeek V3.1: 6 Wins
Context Leader

DeepSeek V3.1

163,840 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Granite 4.1 8B

$0.05 / MTok
IBMactive

Granite 4.1 8B

Granite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks...

View Granite 4.1 8B Full Specs โ†’
DeepSeekactive

DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

View DeepSeek V3.1 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGranite 4.1 8BDeepSeek V3.1
ProviderIBMDeepSeek
Context Window131,072 tokens163,840 tokens๐Ÿ†
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-302025-08-21

API Pricing Comparison

Input Price per Million Tokens

Granite 4.1 8B

$0.05

DeepSeek V3.1

$0.25

Output Price per Million Tokens

Granite 4.1 8B

$0.10

DeepSeek V3.1

$0.95

๐Ÿ’ก Cost Ratio: Granite 4.1 8B is 5.0x cheaper per input token than DeepSeek V3.1.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
75.4%vs80.0%+4.6% DeepSeek V3.1
Granite 4.1 8B
DeepSeek V3.1 ๐Ÿ†
HumanEvalPython coding & logic synthesis
71.6%vs78.2%+6.6% DeepSeek V3.1
Granite 4.1 8B
DeepSeek V3.1 ๐Ÿ†
MATHComplex mathematical problem solving
41.4%vs55.4%+14.0% DeepSeek V3.1
Granite 4.1 8B
DeepSeek V3.1 ๐Ÿ†
GPQAGraduate-level expert reasoning
28.8%vs40.8%+12.0% DeepSeek V3.1
Granite 4.1 8B
DeepSeek V3.1 ๐Ÿ†
HellaSwagCommonsense reasoning and inference
76.0%vs83.0%+7.0% DeepSeek V3.1
Granite 4.1 8B
DeepSeek V3.1 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
7.9%vs8.6%+0.7% DeepSeek V3.1
Granite 4.1 8B
DeepSeek V3.1 ๐Ÿ†

Granite 4.1 8B Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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