Compare · ModelsLive · 2 picked · head to head
Gemini 3 Flash Preview vs Phi 4
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Gemini 3 Flash Preview wins on 7/7 benchmarks
Gemini 3 Flash Preview wins 7 of 7 shared benchmarks. Leads in speed · arena · knowledge.
Category leads
speed·Gemini 3 Flash Previewarena·Gemini 3 Flash Previewknowledge·Gemini 3 Flash Previewmath·Gemini 3 Flash Preview
Hype vs Reality
Attention vs performance
Gemini 3 Flash Preview
#98 by perf·no signal
Phi 4
#126 by perf·no signal
Best value
Phi 4
15.0x better value than Gemini 3 Flash Preview
Gemini 3 Flash Preview
28.1 pts/$
$1.75/M
Phi 4
421.5 pts/$
$0.10/M
Vendor risk
Who is behind the model
Google DeepMind
$4.00T·Tier 1
Microsoft
$3.00T·Big Tech
Head to head
7 benchmarks · 2 models
Gemini 3 Flash PreviewPhi 4
Artificial Analysis · Agentic Index
Gemini 3 Flash Preview leads by +49.7
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?"
Gemini 3 Flash Preview
49.7
Phi 4
0.0
Artificial Analysis · Coding Index
Gemini 3 Flash Preview leads by +31.4
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.
Gemini 3 Flash Preview
42.6
Phi 4
11.2
Artificial Analysis · Quality Index
Gemini 3 Flash Preview leads by +36.0
Gemini 3 Flash Preview
46.4
Phi 4
10.4
Chatbot Arena Elo · Overall
Gemini 3 Flash Preview leads by +218.5
Gemini 3 Flash Preview
1473.9
Phi 4
1255.4
Balrog
Gemini 3 Flash Preview leads by +36.5
Balrog · benchmarks AI agents on text-based adventure games, testing language understanding, strategic planning, and long-horizon reasoning.
Gemini 3 Flash Preview
48.1
Phi 4
11.6
GPQA diamond
Gemini 3 Flash Preview leads by +36.2
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Gemini 3 Flash Preview
77.6
Phi 4
41.4
OTIS Mock AIME 2024-2025
Gemini 3 Flash Preview leads by +79.1
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 3 Flash Preview
92.8
Phi 4
13.7
Full benchmark table
| Benchmark | Gemini 3 Flash Preview | Phi 4 |
|---|---|---|
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?" | 49.7 | 0.0 |
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. | 42.6 | 11.2 |
Artificial Analysis · Quality Index | 46.4 | 10.4 |
Chatbot Arena Elo · Overall | 1473.9 | 1255.4 |
Balrog Balrog · benchmarks AI agents on text-based adventure games, testing language understanding, strategic planning, and long-horizon reasoning. | 48.1 | 11.6 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 77.6 | 41.4 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 92.8 | 13.7 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.50 | $3.00 | 1.0M tokens (~524 books) | $11.25 | |
| $0.07 | $0.14 | 16K tokens (~8 books) | $0.84 |