Compare · ModelsLive · 2 picked · head to head
DeepSeek V4 Flash vs Gemini 2.5 Pro
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V4 Flash wins on 4/8 benchmarks
DeepSeek V4 Flash wins 4 of 8 shared benchmarks. Leads in speed · general.
Category leads
speed·DeepSeek V4 Flasharena·Gemini 2.5 Progeneral·DeepSeek V4 Flashreasoning·Gemini 2.5 Procoding·Gemini 2.5 Pro
Hype vs Reality
Attention vs performance
DeepSeek V4 Flash
#39 by perf·#6 by attention
Gemini 2.5 Pro
#116 by perf·no signal
Best value
DeepSeek V4 Flash
10.5x better value than Gemini 2.5 Pro
DeepSeek V4 Flash
94.4 pts/$
$0.65/M
Gemini 2.5 Pro
9.0 pts/$
$5.63/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
Google DeepMind
$4.20T·Tier 1
Head to head
8 benchmarks · 2 models
DeepSeek V4 FlashGemini 2.5 Pro
Artificial Analysis · Agentic Index
Gemini 2.5 Pro leads by +1.6
Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?"
DeepSeek V4 Flash
31.1
Gemini 2.5 Pro
32.7
Artificial Analysis · Coding Index
DeepSeek V4 Flash leads by +24.2
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
DeepSeek V4 Flash
56.2
Gemini 2.5 Pro
31.9
Artificial Analysis · Quality Index
DeepSeek V4 Flash leads by +13.3
DeepSeek V4 Flash
40.3
Gemini 2.5 Pro
27.0
Chatbot Arena Elo · Overall
Gemini 2.5 Pro leads by +9.5
DeepSeek V4 Flash
1436.0
Gemini 2.5 Pro
1445.6
Dtbench
DeepSeek V4 Flash leads by +6.7
DeepSeek V4 Flash
77.3
Gemini 2.5 Pro
70.7
Lmca
DeepSeek V4 Flash leads by +1.3
DeepSeek V4 Flash
42.2
Gemini 2.5 Pro
40.9
SimpleBench
Gemini 2.5 Pro leads by +19.3
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
DeepSeek V4 Flash
35.6
Gemini 2.5 Pro
54.9
WeirdML
Gemini 2.5 Pro leads by +8.4
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
DeepSeek V4 Flash
45.6
Gemini 2.5 Pro
54.0
Full benchmark table
| Benchmark | DeepSeek V4 Flash | Gemini 2.5 Pro |
|---|---|---|
Artificial Analysis · Agentic Index Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?" | 31.1 | 32.7 |
Artificial Analysis · Coding Index Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads. | 56.2 | 31.9 |
Artificial Analysis · Quality Index | 40.3 | 27.0 |
Chatbot Arena Elo · Overall | 1436.0 | 1445.6 |
Dtbench | 77.3 | 70.7 |
Lmca | 42.2 | 40.9 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 35.6 | 54.9 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 45.6 | 54.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.03 | $1.28 | 1.0M tokens (~524 books) | $3.39 | |
| $1.25 | $10.00 | 1.0M tokens (~524 books) | $34.38 |
People also compared