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DeepSeek V3 vs Gemini 2.5 Pro

DeepSeek V3

DeepSeek

70#116
vs
Gemini 2.5 Pro

Google

84#47
Signal-by-Signal Comparison
SignalDeepSeek V3DeltaGemini 2.5 Pro
Capabilities
50
-50
100
Benchmarks
70
-9
80
Pricing
99
+9
90
Context window size
83
-13
96
Recency
28
-31
59
Output Capacity
70
-10
80
Overall Result
1 wins
of 6
5 wins
Gemini 2.5 Pro wins 5 of 6 signals

Score History

Score History (24 data points)
DeepSeek V3Gemini 2.5 Pro
DeepSeek V3

69.5

current score

Leader

Gemini 2.5 Pro

right now

Gemini 2.5 Pro

83.5

current score

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

DeepSeek V3

DeepSeek

Best Value
Per request$0.000600
Daily$2.00
Monthly$60.02
Annual$720.30

Gemini 2.5 Pro

Google

Per request$0.006250
Daily$20.83
Monthly$625.00
Annual$7500.00

DeepSeek V3 saves you $564.98/month

That's $6779.70/year compared to Gemini 2.5 Pro at your current usage level of 100K calls/month.

90% cheaper
Choose DeepSeek V3 for cost optimization

DeepSeek V3 pricing:
Input:$0.20/M tokens
Output:$0.80/M tokens
Gemini 2.5 Pro pricing:
Input:$1.25/M tokens
Output:$10.00/M tokens
DeepSeek V3

DeepSeek

70

Composite Score

Winner
Gemini 2.5 Pro

Google

84

Composite Score

Signal-by-Signal Comparison
MetricDeepSeek V3Gemini 2.5 ProWinner
Overall Score
70
84
Gemini 2.5 Pro
Rank#116#47
Gemini 2.5 Pro
Quality Rank#116#47
Gemini 2.5 Pro
Adoption Rank#116#47
Gemini 2.5 Pro
Parameters------
Context Window164K1049K
Gemini 2.5 Pro
Pricing$0.20/$0.80/M$1.25/$10.00/M--
Signal Scores
Capabilities
50
100
Gemini 2.5 Pro
Benchmarks
70
80
Gemini 2.5 Pro
Pricing
99
90
DeepSeek V3
Context window size
83
96
Gemini 2.5 Pro
Recency
28
59
Gemini 2.5 Pro
Output Capacity
70
80
Gemini 2.5 Pro
Benchmark Head-to-Head(14 benchmarks)
DeepSeek V3: 1Gemini 2.5: 10
DeepSeek V3
Gemini 2.5
Normalized 0-100%
MMLU
88.5%90.8%
MMLU-Pro
75.9%86%
GPQA Diamond
59.1%84%
MATH-500
90.2%95.2%
HumanEval
82.6%-
SWE-bench Verified
42%63.8%
AIME 2024
39.2%92%
GSM8K
96.7%-
IFEval
87.1%87.2%
BBH
87.5%88%
Arena Elo
13181444
LiveBench
60.4%75.6%
HLE
-35.2%
BigCodeBench
50%29.7%
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 V3Competitive

Scores 70/100 (rank #116), placing it in the top 60% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Gemini 2.5 ProStrong Performer

Scores 84/100 (rank #47), placing it in the top 84% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 2.5 Pro has a 14-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose DeepSeek V3 when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model

Choose Gemini 2.5 Pro when you need:

  • Processing long documents or large codebases (1049K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
DeepSeek V3Best Value
Input cost$0.20/M tokens
Output cost$0.80/M tokens
Cost per quality point$0.014
Est. monthly (1M tokens/day)$15.00
Gemini 2.5 Pro
Input cost$1.25/M tokens
Output cost$10.00/M tokens
Cost per quality point$0.135
Est. monthly (1M tokens/day)$168.75

DeepSeek V3 offers 91% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with DeepSeek V3 vs $168.75/month with Gemini 2.5 Pro - a $153.75 monthly difference.

Latency & Speed
DeepSeek V3Faster
Speed score0/100
Gemini 2.5 Pro
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 V3

Customer support chatbot

Suitable for user-facing chat with competitive response times. DeepSeek V3 also offers lower per-token costs for high-volume support

DeepSeek V3

Long document analysis

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

Gemini 2.5 Pro

Batch data extraction

Lower output pricing ($0.80/M) reduces costs when processing thousands of records daily

DeepSeek V3

Creative writing & content

Higher overall composite score (84/100) correlates with better nuance, coherence, and style in long-form content

Gemini 2.5 Pro

Image understanding & OCR

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

Gemini 2.5 Pro
Which Should You Choose?
Our recommendation:
Gemini 2.5 Pro

Gemini 2.5 Pro clearly outperforms DeepSeek V3 with a significant 14-point lead. For most general use cases, Gemini 2.5 Pro is the stronger choice. However, DeepSeek V3 may still excel in niche scenarios.

by DeepSeek

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 91% lower pricing; better value at scale
  • 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
Gemini 2.5 Pro
Recommended

by Google

Consider for specialized use cases.

Capability Comparison
CapabilityDeepSeek V3Gemini 2.5 Pro
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

DeepSeek V3

DeepSeek

Best Value
$1.32
estimated monthly cost

Gemini 2.5 Pro

Google

$14.25
estimated monthly cost

DeepSeek V3 saves you $12.93/month

That's 91% cheaper than Gemini 2.5 Pro 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 V3Gemini 2.5 Pro
Context Window164K1.0M
Max Output Tokens16,00065,536
Open SourceYesNo
CreatedDec 26, 2024Jun 17, 2025
Last updated: 54m ago

相关对比

DeepSeek V3 vs Gemini 2.5 Pro (2026) | LM Market Cap