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Model comparison

DeepSeek V4 Flash (High) vs Granite-4.0-350M

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

53.95/100
Margin
15.6pts
← winning
38.32/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek V4 Flash (High) #92 (Estimated); Granite-4.0-350M #181 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Flash (High) and Granite-4.0-350M share 11 comparable benchmark results. 0 of 8 categories are comparable. 27 results are unique to DeepSeek V4 Flash (High); 0 to Granite-4.0-350M.

Updated July 23, 2026
Shared results
11
DeepSeek V4 Flash (High) only
27
Granite-4.0-350M only
0
Comparable categories
0 / 8

Benchmark data for DeepSeek V4 Flash (High) and Granite-4.0-350M is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

DeepSeek V4 Flash (High) is priced at $0.14 input / $0.28 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Granite-4.0-350M. DeepSeek V4 Flash (High) has the larger context window at 1M, compared with 32K for Granite-4.0-350M.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for DeepSeek V4 Flash (High) and Granite-4.0-350M
CategoryDeepSeek V4 Flash (High)ΔGranite-4.0-350M
AgenticDeepSeek V4 Flash (High)55.3MarginNo overlapGranite-4.0-350MNot measured
CodingDeepSeek V4 Flash (High)68.5MarginNo overlapGranite-4.0-350MNot measured
KnowledgeDeepSeek V4 Flash (High)52.1MarginNo overlapGranite-4.0-350MNot measured
MathDeepSeek V4 Flash (High)91.9MarginNo overlapGranite-4.0-350MNot measured

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricDeepSeek V4 Flash (High)Granite-4.0-350MComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Flash (High)$0.14 input / $0.28 outputGranite-4.0-350M$0 input / $0 outputGranite-4.0-350M has the lower combined listed price.
Generation speedtokens per secondDeepSeek V4 Flash (High)Not availableGranite-4.0-350MNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 Flash (High)Not availableGranite-4.0-350MNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Flash (High)1MGranite-4.0-350M32KDeepSeek V4 Flash (High) lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V4 Flash (High)Granite-4.0-350MResult
Terminal-Bench 2.0Source 56.6%Not comparable
BrowseCompSource 53.5%Not comparable
HLE w/ toolsSource 40.3%Not comparable
MCP AtlasSource 67.4%Not comparable
ToolathlonSource 43.5%Not comparable
τ²-bench resultsSource 95.6%13.2%DeepSeek V4 Flash (High) leads
AA Agentic IndexSource 28.2%Not comparable
GDPval-AASource 32.4%Not comparable
GDPval-AASource 1147Not comparable
Coding
BenchmarkDeepSeek V4 Flash (High)Granite-4.0-350MResult
CodeforcesSource 2816.0Not comparable
SWE-bench VerifiedSource 78.6%Not comparable
SWE-bench ProSource 52.3%Not comparable
SWE MultilingualSource 70.2%Not comparable
Terminal-Bench 2.0Source 56.6%Not comparable
AA-SciCodeSource 42.0%0.9%DeepSeek V4 Flash (High) leads
AA Coding IndexSource 52.0%Not comparable
Reasoning
BenchmarkDeepSeek V4 Flash (High)Granite-4.0-350MResult
MRCR 1MSource 76.9%Not comparable
CorpusQA 1MSource 59.3%Not comparable
AA-LCRSource 62.7%0.0%DeepSeek V4 Flash (High) leads
CritPtSource 3.4%0.0%DeepSeek V4 Flash (High) leads
Knowledge
BenchmarkDeepSeek V4 Flash (High)Granite-4.0-350MResult
MMLU-ProSource 86.4%Not comparable
SimpleQASource 28.9%Not comparable
Chinese-SimpleQASource 73.2%Not comparable
GPQASource 87.4%Not comparable
GPQA-DSource 87.4%Not comparable
HLESource 29.4%Not comparable
Artificial Analysis Intelligence IndexSource 37.5%1.0%DeepSeek V4 Flash (High) leads
AA-GPQA DiamondSource 86.7%20.3%DeepSeek V4 Flash (High) leads
AA-HLESource 27.8%5.7%DeepSeek V4 Flash (High) leads
AA-Omniscience IndexSource -22.3%-72.1%DeepSeek V4 Flash (High) leads
AA-Omniscience AccuracySource 35.5%3.2%DeepSeek V4 Flash (High) leads
AA-Omniscience Hallucination RateSource 89.7%77.8%Granite-4.0-350M leads
Math
BenchmarkDeepSeek V4 Flash (High)Granite-4.0-350MResult
HMMT Feb 2026Source 91.9%Not comparable
IMOAnswerBenchSource 85.1%Not comparable
ApexSource 19.1%Not comparable
Apex ShortlistSource 72.1%Not comparable
Multimodal
BenchmarkDeepSeek V4 Flash (High)Granite-4.0-350MResult
Design Arena WebsiteSource 1238Not comparable
Inst. Following
BenchmarkDeepSeek V4 Flash (High)Granite-4.0-350MResult
AA-IFBenchSource 73.5%16.8%DeepSeek V4 Flash (High) leads
Frequently Asked Questions (3)

Can I compare DeepSeek V4 Flash (High) and Granite-4.0-350M on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for DeepSeek V4 Flash (High) and Granite-4.0-350M today?

DeepSeek V4 Flash (High): $0.14 input / $0.28 output per 1M tokens Granite-4.0-350M: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 23, 2026

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