Skip to content

GPT-5 Mini vs Granite 4.2 8B

GPT-5 Mini

OpenAI

54#223
vs
Signal-by-Signal Comparison
SignalGPT-5 MiniDeltaGranite 4.2 8B
Capabilities
100
+33
67
Benchmarks
65
+14
52
Pricing
98
-2
100
Context window size
89
+8
81
Recency
62
-38
100
Output Capacity
82
+1
81
Overall Result
4 wins
of 6
2 wins
GPT-5 Mini wins 4 of 6 signals

Score History

Score History (28 data points)
GPT-5 MiniGranite 4.2 8B
GPT-5 Mini

53.7

current score

Leader

Granite 4.2 8B

right now

Granite 4.2 8B

54

current score

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

GPT-5 Mini

OpenAI

Per request$0.001250
Daily$4.17
Monthly$125.00
Annual$1500.00

Granite 4.2 8B

IBM

Best Value
Per request$0.000175
Daily$0.58
Monthly$17.50
Annual$210.00

Granite 4.2 8B saves you $107.50/month

That's $1290.00/year compared to GPT-5 Mini at your current usage level of 100K calls/month.

86% cheaper
Choose Granite 4.2 8B for cost optimization

GPT-5 Mini pricing:
Input:$0.25/M tokens
Output:$2.00/M tokens
Granite 4.2 8B pricing:
Input:$0.10/M tokens
Output:$0.15/M tokens
GPT-5 Mini

OpenAI

54

Composite Score

Winner
Granite 4.2 8B

IBM

54

Composite Score

Signal-by-Signal Comparison
MetricGPT-5 MiniGranite 4.2 8BWinner
Overall Score
54
54
Granite 4.2 8B
Rank#223#221
Granite 4.2 8B
Quality Rank#223#221
Granite 4.2 8B
Adoption Rank#223#221
Granite 4.2 8B
Parameters--8B--
Context Window400K131K
GPT-5 Mini
Pricing$0.25/$2.00/M$0.10/$0.15/M--
Signal Scores
Capabilities
100
67
GPT-5 Mini
Benchmarks
65
52
GPT-5 Mini
Pricing
98
100
Granite 4.2 8B
Context window size
89
81
GPT-5 Mini
Recency
62
100
Granite 4.2 8B
Output Capacity
82
81
GPT-5 Mini
Benchmark Head-to-Head(2 benchmarks)
GPT-5 Mini: 1Granite 4.2: 0
GPT-5 Mini
Granite 4.2
Normalized 0-100%
Arena Elo
13891288
HLE
19.44%-
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-5 MiniCompetitive

Scores 54/100 (rank #223), placing it in the top 23% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Granite 4.2 8BCompetitive

Scores 54/100 (rank #221), placing it in the top 24% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-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-5 Mini when you need:

  • Processing long documents or large codebases (400K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Granite 4.2 8B when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-5 Mini
Input cost$0.25/M tokens
Output cost$2.00/M tokens
Cost per quality point$0.042
Est. monthly (1M tokens/day)$33.75
Granite 4.2 8BBest Value
Input cost$0.10/M tokens
Output cost$0.15/M tokens
Cost per quality point$0.005
Est. monthly (1M tokens/day)$3.75

Granite 4.2 8B offers 89% better value per quality point. At 1M tokens/day, you'd spend $3.75/month with Granite 4.2 8B vs $33.75/month with GPT-5 Mini - a $30.00 monthly difference.

Latency & Speed
GPT-5 MiniFaster
Speed score0/100
Granite 4.2 8B
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-5 Mini

Customer support chatbot

Suitable for user-facing chat with competitive response times. Granite 4.2 8B also offers lower per-token costs for high-volume support

GPT-5 Mini

Long document analysis

Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5 Mini

Batch data extraction

Lower output pricing ($0.15/M) reduces costs when processing thousands of records daily

Granite 4.2 8B

Creative writing & content

Higher overall composite score (54/100) correlates with better nuance, coherence, and style in long-form content

Granite 4.2 8B

Image understanding & OCR

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

GPT-5 Mini
Which Should You Choose?
Our recommendation:
Granite 4.2 8B

GPT-5 Mini and Granite 4.2 8B are extremely close in overall performance (only 0.29999999999999716 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
Granite 4.2 8B
Recommended

by IBM

  • Choose for Cost - 89% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5 MiniGranite 4.2 8B
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-5 Mini

OpenAI

$2.85
estimated monthly cost

Granite 4.2 8B

IBM

Best Value
$0.3600
estimated monthly cost

Granite 4.2 8B saves you $2.49/month

That's 87% cheaper than GPT-5 Mini 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-5 MiniGranite 4.2 8B
Context Window400K131K
Max Output Tokens128,000117,964
Open SourceNoYes
CreatedAug 7, 2025Aug 31, 2026
Last updated: 58m ago

相关对比

GPT-5 Mini vs Granite 4.2 8B (2026) | LM Market Cap