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GPT-3.5 Turbo (batch) vs Grok 4.7

vs
Grok 4.7

xAI

89#42
Signal-by-Signal Comparison
SignalGPT-3.5 Turbo (batch)DeltaGrok 4.7
Capabilities
67
-33
100
Pricing
99
+4
95
Context window size
67
-23
90
Recency
0
-100
100
Output Capacity
58
-33
90
Benchmarks
0
-86
86
Overall Result
1 wins
of 6
5 wins
Grok 4.7 wins 5 of 6 signals

Score History

Score History (7 data points)
GPT-3.5 Turbo (batch)Grok 4.7
GPT-3.5 Turbo (batch)

40

current score

Leader

Grok 4.7

right now

Grok 4.7

88.8

current score

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

GPT-3.5 Turbo (batch)

OpenAI

Best Value
Per request$0.000625
Daily$2.08
Monthly$62.50
Annual$750.00

Grok 4.7

xAI

Per request$0.004000
Daily$13.33
Monthly$400.00
Annual$4800.00

GPT-3.5 Turbo (batch) saves you $337.50/month

That's $4050.00/year compared to Grok 4.7 at your current usage level of 100K calls/month.

84% cheaper
Choose GPT-3.5 Turbo (batch) for cost optimization

GPT-3.5 Turbo (batch) pricing:
Input:$0.25/M tokens
Output:$0.75/M tokens
Grok 4.7 pricing:
Input:$1.60/M tokens
Output:$4.80/M tokens
GPT-3.5 Turbo (batch)

OpenAI

40

Composite Score

Winner
Grok 4.7

xAI

89

Composite Score

Signal-by-Signal Comparison
MetricGPT-3.5 Turbo (batch)Grok 4.7Winner
Overall Score
40
89
Grok 4.7
Rank#408#42
Grok 4.7
Quality Rank#408#42
Grok 4.7
Adoption Rank#408#42
Grok 4.7
Parameters------
Context Window16K500K
Grok 4.7
Pricing$0.25/$0.75/M$1.60/$4.80/M--
Signal Scores
Capabilities
67
100
Grok 4.7
Pricing
99
95
GPT-3.5 Turbo (batch)
Context window size
67
90
Grok 4.7
Recency
0
100
Grok 4.7
Output Capacity
58
90
Grok 4.7
Benchmarks--
86
Grok 4.7
Benchmark Head-to-Head(11 benchmarks)
GPT-3.5 Turbo: 0Grok 4.7: 0
GPT-3.5 Turbo
Grok 4.7
Normalized 0-100%
MMLU
-91.5%
MMLU-Pro
-83.5%
GPQA Diamond
-82%
MATH-500
-95%
HumanEval
-95.5%
SWE-bench Verified
-70%
AIME 2024
-88%
IFEval
-91%
BBH
-90%
Arena Elo
-1462
LiveBench
-73%
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-3.5 Turbo (batch)Entry Level

Scores 40/100 (rank #408), placing it in the top -40% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Grok 4.7Elite Tier

Scores 89/100 (rank #42), placing it in the top 86% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Grok 4.7 has a 49-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-3.5 Turbo (batch) when you need:

  • High-volume production workloads where API costs must be minimized

Choose Grok 4.7 when you need:

  • Processing long documents or large codebases (500K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-3.5 Turbo (batch)Best Value
Input cost$0.25/M tokens
Output cost$0.75/M tokens
Cost per quality point$0.025
Est. monthly (1M tokens/day)$15.00
Grok 4.7
Input cost$1.60/M tokens
Output cost$4.80/M tokens
Cost per quality point$0.072
Est. monthly (1M tokens/day)$96.00

GPT-3.5 Turbo (batch) offers 84% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with GPT-3.5 Turbo (batch) vs $96.00/month with Grok 4.7 - a $81.00 monthly difference.

Latency & Speed
GPT-3.5 Turbo (batch)Faster
Speed score0/100
Grok 4.7
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-3.5 Turbo (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-3.5 Turbo (batch) also offers lower per-token costs for high-volume support

GPT-3.5 Turbo (batch)

Long document analysis

Larger context window (500K tokens) can process longer documents, contracts, and research papers in a single pass

Grok 4.7

Batch data extraction

Lower output pricing ($0.75/M) reduces costs when processing thousands of records daily

GPT-3.5 Turbo (batch)

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

Grok 4.7

Image understanding & OCR

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

Grok 4.7
Which Should You Choose?
Our recommendation:
Grok 4.7

Grok 4.7 clearly outperforms GPT-3.5 Turbo (batch) with a significant 48.8-point lead. For most general use cases, Grok 4.7 is the stronger choice. However, GPT-3.5 Turbo (batch) may still excel in niche scenarios.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 84% 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
Grok 4.7
Recommended

by xAI

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-3.5 Turbo (batch)Grok 4.7
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-3.5 Turbo (batch)

OpenAI

Best Value
$1.35
estimated monthly cost

Grok 4.7

xAI

$8.64
estimated monthly cost

GPT-3.5 Turbo (batch) saves you $7.29/month

That's 84% cheaper than Grok 4.7 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-3.5 Turbo (batch)Grok 4.7
Context Window16K500K
Max Output Tokens4,096450,000
Open SourceNoNo
CreatedMay 28, 2023Sep 21, 2026
Last updated: 22m ago

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