Model Comparison

Gemini 3.8 Flash (high)
vs. V4 Pro 0813 (Reasoning, Max Effort)

Comparing 2 AI models · 0 benchmarks · Google, DeepSeek

Recommended Pick

Google logoGemini 3.8 Flash (high)9 metric wins

Strongest on: Value, Input price, Output price

Best Value

Google logo

Gemini 3.8 Flash (high)

100.0 value score

58.7 reasoning / $1.50/1M

Lowest Price

Google logo

Gemini 3.8 Flash (high)

$0.75/1M input price

Best Reasoning

Google logo

Gemini 3.8 Flash (high)

58.7 reasoning score

Blends available reasoning benchmarks

Best for Coding

Google logo

Gemini 3.8 Flash (high)

76.3 coding index

Differences That Matter

Best value

Gemini 3.8 Flash (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.

Price gap

Gemini 3.8 Flash (high) is 1.8x cheaper on input tokens than V4 Pro 0813 (Reasoning, Max Effort).

Speed gap

Gemini 3.8 Flash (high) generates about 5.4x as many tokens per second as V4 Pro 0813 (Reasoning, Max Effort).

Reasoning gap

Gemini 3.8 Flash (high) leads V4 Pro 0813 (Reasoning, Max Effort) by 5.5 points on reasoning.

Coding gap

Gemini 3.8 Flash (high) leads V4 Pro 0813 (Reasoning, Max Effort) by 7.5 points on coding.

Live compare

Response Face-Off

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Google logo

Gemini 3.8 Flash (high)

Google

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TTFT

Time

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Cost

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DeepSeek logo

V4 Pro 0813 (Reasoning, Max Effort)

DeepSeek

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Full Comparison

Metric
Top Pick
Google logoGemini 3.8 Flash (high)
Google
DeepSeek logoV4 Pro 0813 (Reasoning, Max Effort)
DeepSeek
Pricing per 1M tokens
Input Cost$0.75/1M$1.32/1M
Output Cost$3.75/1M$3.96/1M
Blended (3:1)$1.50/1M$1.98/1M
Specifications
OrganizationGoogleDeepSeek
Release DateSep 2, 2026Aug 13, 2026
Performance & Speed
Throughput326.9 tok/s60.2 tok/s
TTFT12910ms1900ms
Latency12910ms35100ms
Composite Indices
Value Score100.068.7
Reasoning Score58.753.2
Intelligence58.753.2
Coding76.368.8

Key Takeaways

Gemini 3.8 Flash (high) offers the best value at $0.75/1M,making it ideal for high-volume applications and cost-conscious projects.

Gemini 3.8 Flash (high) has the strongest reasoning profile with a 58.7 reasoning score,combining the available reasoning-heavy benchmarks.

Gemini 3.8 Flash (high) reaches a 76.3 coding index,making it the top choice for software development and code generation tasks.

All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.

When to Choose Each Model

Google logo

Gemini 3.8 Flash (high)

  • Cost-sensitive applications
  • High-volume processing
  • Complex reasoning tasks
  • Research & analysis
  • Code generation
  • Software development
DeepSeek logo

V4 Pro 0813 (Reasoning, Max Effort)

  • General-purpose AI
  • Versatile applications