Skip to content

DeepSeek V4 Pro 0423 vs Gemini 3.7 Flash (batch)

Signal-by-Signal Comparison
SignalDeepSeek V4 Pro 0423DeltaGemini 3.7 Flash (batch)
Capabilities
67
-33
100
Pricing
98
-1
99
Context window size
96
--
96
Recency
100
--
100
Output Capacity
93
+13
80
Overall Result
1 wins
of 5
2 wins
Gemini 3.7 Flash (batch) wins 2 of 5 signals

Score History

Score History (2 data points)
DeepSeek V4 Pro 0423Gemini 3.7 Flash (batch)
DeepSeek V4 Pro 0423

40

current score

Leader

Tied

right now

Gemini 3.7 Flash (batch)

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

DeepSeek V4 Pro 0423

DeepSeek

Per request$0.001650
Daily$5.50
Monthly$165.00
Annual$1980.00

Gemini 3.7 Flash (batch)

Google

Best Value
Per request$0.000656
Daily$2.19
Monthly$65.63
Annual$787.50

Gemini 3.7 Flash (batch) saves you $99.38/month

That's $1192.50/year compared to DeepSeek V4 Pro 0423 at your current usage level of 100K calls/month.

60% cheaper
Choose Gemini 3.7 Flash (batch) for cost optimization

DeepSeek V4 Pro 0423 pricing:
Input:$0.66/M tokens
Output:$1.98/M tokens
Gemini 3.7 Flash (batch) pricing:
Input:$0.19/M tokens
Output:$0.94/M tokens
Tie
DeepSeek V4 Pro 0423

DeepSeek

40

Composite Score

Tie
Gemini 3.7 Flash (batch)

Google

40

Composite Score

Signal-by-Signal Comparison
MetricDeepSeek V4 Pro 0423Gemini 3.7 Flash (batch)Winner
Overall Score
40
40
--
Rank#286#234
Gemini 3.7 Flash (batch)
Quality Rank#286#234
Gemini 3.7 Flash (batch)
Adoption Rank#286#234
Gemini 3.7 Flash (batch)
Parameters------
Context Window1049K1049K--
Pricing$0.66/$1.98/M$0.19/$0.94/M--
Signal Scores
Capabilities
67
100
Gemini 3.7 Flash (batch)
Pricing
98
99
Gemini 3.7 Flash (batch)
Context window size
96
96
DeepSeek V4 Pro 0423
Recency
100
100
DeepSeek V4 Pro 0423
Output Capacity
93
80
DeepSeek V4 Pro 0423
Benchmark Head-to-Head(4 benchmarks)
DeepSeek V4: 0Gemini 3.7: 0
DeepSeek V4
Gemini 3.7
Normalized 0-100%
MMLU-Pro
87.5%-
GPQA Diamond
90.1%-
SWE-bench Verified
80.6%-
Arena Elo
1463-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

DeepSeek V4 Pro 0423Entry Level

Scores 40/100 (rank #286), placing it in the top 2% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Gemini 3.7 Flash (batch)Entry Level

Scores 40/100 (rank #234), placing it in the top 20% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose DeepSeek V4 Pro 0423 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Gemini 3.7 Flash (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
DeepSeek V4 Pro 0423
Input cost$0.66/M tokens
Output cost$1.98/M tokens
Cost per quality point$0.066
Est. monthly (1M tokens/day)$39.60
Gemini 3.7 Flash (batch)Best Value
Input cost$0.19/M tokens
Output cost$0.94/M tokens
Cost per quality point$0.028
Est. monthly (1M tokens/day)$16.88

Gemini 3.7 Flash (batch) offers 57% better value per quality point. At 1M tokens/day, you'd spend $16.88/month with Gemini 3.7 Flash (batch) vs $39.60/month with DeepSeek V4 Pro 0423 - a $22.73 monthly difference.

Latency & Speed
DeepSeek V4 Pro 0423Faster
Speed score0/100
Gemini 3.7 Flash (batch)
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

DeepSeek V4 Pro 0423

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemini 3.7 Flash (batch) also offers lower per-token costs for high-volume support

DeepSeek V4 Pro 0423

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

DeepSeek V4 Pro 0423

Batch data extraction

Lower output pricing ($0.94/M) reduces costs when processing thousands of records daily

Gemini 3.7 Flash (batch)

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

DeepSeek V4 Pro 0423

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Gemini 3.7 Flash (batch)
Which Should You Choose?
Our recommendation:
DeepSeek V4 Pro 0423

DeepSeek V4 Pro 0423 and Gemini 3.7 Flash (batch) are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by DeepSeek

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by Google

  • Choose for Cost - 57% lower pricing; better value at scale
Capability Comparison
CapabilityDeepSeek V4 Pro 0423Gemini 3.7 Flash (batch)
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

DeepSeek V4 Pro 0423

DeepSeek

$3.56
estimated monthly cost

Gemini 3.7 Flash (batch)

Google

Best Value
$1.46
estimated monthly cost

Gemini 3.7 Flash (batch) saves you $2.10/month

That's 59% cheaper than DeepSeek V4 Pro 0423 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterDeepSeek V4 Pro 0423Gemini 3.7 Flash (batch)
Context Window1.0M1.0M
Max Output Tokens384,00065,536
Open SourceYesNo
CreatedApr 24, 2026Aug 13, 2026
Last updated: 18m ago

Related comparisons

DeepSeek V4 Pro 0423 vs Gemini 3.7 Flash (batch) (2026) | LM Market Cap