Skip to content

GPT-4 Turbo (batch) vs Phi 4

vs
Phi 4

Microsoft

60#208
Signal-by-Signal Comparison
SignalGPT-4 Turbo (batch)DeltaPhi 4
Capabilities
83
+50
33
Benchmarks
66
+1
65
Pricing
85
-15
100
Context window size
81
+14
67
Recency
0
-28
28
Output Capacity
60
-10
70
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (25 data points)
GPT-4 Turbo (batch)Phi 4
GPT-4 Turbo (batch)

61.5

current score

Leader

GPT-4 Turbo (batch)

right now

Phi 4

60.2

current score

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

GPT-4 Turbo (batch)

OpenAI

Per request$0.012500
Daily$41.67
Monthly$1250.00
Annual$15000.00

Phi 4

Microsoft

Best Value
Per request$0.000140
Daily$0.47
Monthly$14.00
Annual$168.00

Phi 4 saves you $1236.00/month

That's $14832.00/year compared to GPT-4 Turbo (batch) at your current usage level of 100K calls/month.

99% cheaper
Choose Phi 4 for cost optimization

GPT-4 Turbo (batch) pricing:
Input:$5.00/M tokens
Output:$15.00/M tokens
Phi 4 pricing:
Input:$0.07/M tokens
Output:$0.14/M tokens
Winner
GPT-4 Turbo (batch)

OpenAI

62

Composite Score

Phi 4

Microsoft

60

Composite Score

Signal-by-Signal Comparison
MetricGPT-4 Turbo (batch)Phi 4Winner
Overall Score
62
60
GPT-4 Turbo (batch)
Rank#204#208
GPT-4 Turbo (batch)
Quality Rank#204#208
GPT-4 Turbo (batch)
Adoption Rank#204#208
GPT-4 Turbo (batch)
Parameters------
Context Window128K16K
GPT-4 Turbo (batch)
Pricing$5.00/$15.00/M$0.07/$0.14/M--
Signal Scores
Capabilities
83
33
GPT-4 Turbo (batch)
Benchmarks
66
65
GPT-4 Turbo (batch)
Pricing
85
100
Phi 4
Context window size
81
67
GPT-4 Turbo (batch)
Recency
0
28
Phi 4
Output Capacity
60
70
Phi 4
Benchmark Head-to-Head(13 benchmarks)
GPT-4 Turbo: 5Phi 4: 4
GPT-4 Turbo
Phi 4
Normalized 0-100%
MMLU
86.5%84.8%
MMLU-Pro
63.7%70.5%
GPQA Diamond
48%56.1%
MATH-500
72.6%80.4%
HumanEval
87.1%82.6%
GSM8K
94.2%-
IFEval
-80.1%
BBH
83.1%78%
ARC-Challenge
-95.5%
HellaSwag
95.1%-
Arena Elo
12551256
LiveBench
37.3%35.7%
BigCodeBench
48.2%45.5%
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.

GPT-4 Turbo (batch)Competitive

Scores 62/100 (rank #204), placing it in the top 30% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Phi 4Competitive

Scores 60/100 (rank #208), placing it in the top 29% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-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 GPT-4 Turbo (batch) when you need:

  • Processing long documents or large codebases (128K token context)
  • Multimodal workflows that require image understanding
  • Agentic applications using tool/function calling

Choose Phi 4 when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-4 Turbo (batch)
Input cost$5.00/M tokens
Output cost$15.00/M tokens
Cost per quality point$0.325
Est. monthly (1M tokens/day)$300.00
Phi 4Best Value
Input cost$0.07/M tokens
Output cost$0.14/M tokens
Cost per quality point$0.003
Est. monthly (1M tokens/day)$3.15

Phi 4 offers 99% better value per quality point. At 1M tokens/day, you'd spend $3.15/month with Phi 4 vs $300.00/month with GPT-4 Turbo (batch) - a $296.85 monthly difference.

Latency & Speed
GPT-4 Turbo (batch)Faster
Speed score0/100
Phi 4
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

GPT-4 Turbo (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Phi 4 also offers lower per-token costs for high-volume support

GPT-4 Turbo (batch)

Long document analysis

Larger context window (128K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-4 Turbo (batch)

Batch data extraction

Lower output pricing ($0.14/M) reduces costs when processing thousands of records daily

Phi 4

Creative writing & content

Higher overall composite score (62/100) correlates with better nuance, coherence, and style in long-form content

GPT-4 Turbo (batch)

Image understanding & OCR

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

GPT-4 Turbo (batch)
Which Should You Choose?
Our recommendation:
GPT-4 Turbo (batch)

GPT-4 Turbo (batch) and Phi 4 are extremely close in overall performance (only 1.2999999999999972 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by OpenAI

  • 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 Microsoft

  • Choose for Cost - 99% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-4 Turbo (batch)Phi 4
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4 Turbo (batch)

OpenAI

$27.00
estimated monthly cost

Phi 4

Microsoft

Best Value
$0.2940
estimated monthly cost

Phi 4 saves you $26.71/month

That's 99% cheaper than GPT-4 Turbo (batch) 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
ParameterGPT-4 Turbo (batch)Phi 4
Context Window128K16K
Max Output Tokens4,09616,384
Open SourceNoYes
CreatedApr 9, 2024Jan 10, 2025
Last updated: 35m ago

相关对比

GPT-4 Turbo (batch) vs Phi 4 (2026) | LM Market Cap