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Model comparison

DeepSeek V4 Flash Base vs Gemma 4 E2B

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

No comparison
41.82/100
0 category wins1 category wins

Public leaderboard positions: DeepSeek V4 Flash Base unranked (Not scored); Gemma 4 E2B #162 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Flash Base and Gemma 4 E2B share 1 comparable benchmark result. 1 of 8 categories are comparable. 23 results are unique to DeepSeek V4 Flash Base; 13 to Gemma 4 E2B.

Updated July 23, 2026
Shared results
1
DeepSeek V4 Flash Base only
23
Gemma 4 E2B only
13
Comparable categories
1 / 8

Treat this as a split decision. DeepSeek V4 Flash Base makes more sense if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model; Gemma 4 E2B is the better fit if knowledge is the priority or you want the stronger reasoning-first profile.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

DeepSeek V4 Flash Base and Gemma 4 E2B finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

Gemma 4 E2B is the reasoning model in the pair, while DeepSeek V4 Flash Base is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. DeepSeek V4 Flash Base gives you the larger context window at 1M, compared with 128K for Gemma 4 E2B.

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 Base and Gemma 4 E2B
CategoryDeepSeek V4 Flash BaseΔGemma 4 E2B
KnowledgeDeepSeek V4 Flash Base56.4Margin 0.5Gemma 4 E2B56.9
ReasoningDeepSeek V4 Flash Base44.7MarginNo overlapGemma 4 E2BNot measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · DeepSeek V4 Flash BaseB · Gemma 4 E2B
  1. MMLU-Pro

    Knowledge
    Source ↗
    A 68.3%B 60%
    Winner: DeepSeek V4 Flash BaseΔ 8.3
    MMLU-Pro: DeepSeek V4 Flash Base scored 68.3%; Gemma 4 E2B scored 60%. DeepSeek V4 Flash Base wins this benchmark.

Operational comparison

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

MetricDeepSeek V4 Flash BaseGemma 4 E2BComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Flash BaseNot availableGemma 4 E2B$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V4 Flash BaseNot availableGemma 4 E2BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 Flash BaseNot availableGemma 4 E2BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Flash Base1MGemma 4 E2B128KDeepSeek V4 Flash Base lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V4 Flash BaseGemma 4 E2BResult
τ²-bench resultsSource 20.8%Not comparable
Coding
BenchmarkDeepSeek V4 Flash BaseGemma 4 E2BResult
BigCodeBenchSource 56.8%Not comparable
HumanEvalSource 69.5%Not comparable
AA-SciCodeSource 20.9%Not comparable
Reasoning
BenchmarkDeepSeek V4 Flash BaseGemma 4 E2BResult
BBHSource 86.9%Not comparable
DROPSource 88.6%Not comparable
HellaSwagSource 85.7%Not comparable
WinoGrandeSource 79.5%Not comparable
CLUEWSCSource 82.2%Not comparable
LongBench v2Source 44.7%Not comparable
AA-LCRSource 15.0%Not comparable
CritPtSource 0.0%Not comparable
KnowledgeGemma 4 E2B wins
BenchmarkDeepSeek V4 Flash BaseGemma 4 E2BResult
AGIEvalSource 82.6%Not comparable
MMLUSource 88.7%Not comparable
MMLU-ReduxSource 89.4%Not comparable
MMLU-ProSource 68.3%60%DeepSeek V4 Flash Base leads
MMMLUSource 88.8%Not comparable
C-EvalSource 92.1%Not comparable
CMMLUSource 90.4%Not comparable
MultiLoKoSource 42.2%Not comparable
SimpleQASource 30.1%Not comparable
SuperGPQASource 46.5%Not comparable
FACTS ParametricSource 33.9%Not comparable
TriviaQASource 82.8%Not comparable
GPQASource 43.4%Not comparable
Artificial Analysis Intelligence IndexSource 9.3%Not comparable
AA-GPQA DiamondSource 37.5%Not comparable
AA-HLESource 4.8%Not comparable
AA-Omniscience IndexSource -24.0%Not comparable
AA-Omniscience AccuracySource 6.7%Not comparable
AA-Omniscience Hallucination RateSource 32.9%Not comparable
Math
BenchmarkDeepSeek V4 Flash BaseGemma 4 E2BResult
GSM8KSource 90.8%Not comparable
MATHSource 57.4%Not comparable
CMathSource 93.6%Not comparable
Multilingual
BenchmarkDeepSeek V4 Flash BaseGemma 4 E2BResult
MGSMSource 85.7%Not comparable
Multimodal
BenchmarkDeepSeek V4 Flash BaseGemma 4 E2BResult
AA-MMMU-ProSource 44.6%Not comparable
Inst. Following
BenchmarkDeepSeek V4 Flash BaseGemma 4 E2BResult
AA-IFBenchSource 35.1%Not comparable
Frequently Asked Questions (2)

Which is better, DeepSeek V4 Flash Base or Gemma 4 E2B?

DeepSeek V4 Flash Base and Gemma 4 E2B are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for knowledge tasks, DeepSeek V4 Flash Base or Gemma 4 E2B?

Gemma 4 E2B has the edge for knowledge tasks in this comparison, averaging 56.9 versus 56.4. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.

Related Comparisons

Last updated: July 23, 2026

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