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gpt-oss-20b (batch) vs Granite 4.1 8B

vs
Signal-by-Signal Comparison
Signalgpt-oss-20b (batch)DeltaGranite 4.1 8B
Capabilities
50
--
50
Benchmarks
56
+2
54
Pricing
100
0
100
Context window size
81
--
81
Recency
62
-38
100
Output Capacity
81
--
81
Overall Result
1 wins
of 6
2 wins
Granite 4.1 8B wins 2 of 6 signals

Score History

Score History (18 data points)
gpt-oss-20b (batch)Granite 4.1 8B
gpt-oss-20b (batch)

56.6

current score

Leader

gpt-oss-20b (batch)

right now

Granite 4.1 8B

55.3

current score

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

gpt-oss-20b (batch)

OpenAI

Per request$0.000150
Daily$0.50
Monthly$15.00
Annual$180.00

Granite 4.1 8B

IBM

Best Value
Per request$0.000100
Daily$0.33
Monthly$10.00
Annual$120.00

Granite 4.1 8B saves you $5.00/month

That's $60.00/year compared to gpt-oss-20b (batch) at your current usage level of 100K calls/month.

33% cheaper
Choose Granite 4.1 8B for cost optimization

gpt-oss-20b (batch) pricing:
Input:$0.05/M tokens
Output:$0.20/M tokens
Granite 4.1 8B pricing:
Input:$0.05/M tokens
Output:$0.10/M tokens
Winner
gpt-oss-20b (batch)

OpenAI

57

Composite Score

Granite 4.1 8B

IBM

55

Composite Score

Signal-by-Signal Comparison
Metricgpt-oss-20b (batch)Granite 4.1 8BWinner
Overall Score
57
55
gpt-oss-20b (batch)
Rank#186#188
gpt-oss-20b (batch)
Quality Rank#186#188
gpt-oss-20b (batch)
Adoption Rank#186#188
gpt-oss-20b (batch)
Parameters20B8B--
Context Window131K131K--
Pricing$0.05/$0.20/M$0.05/$0.10/M--
Signal Scores
Capabilities
50
50
gpt-oss-20b (batch)
Benchmarks
56
54
gpt-oss-20b (batch)
Pricing
100
100
Granite 4.1 8B
Context window size
81
81
gpt-oss-20b (batch)
Recency
62
100
Granite 4.1 8B
Output Capacity
81
81
gpt-oss-20b (batch)
Benchmark Head-to-Head(1 benchmarks)
gpt-oss-20b (batch): 1Granite 4.1: 0
gpt-oss-20b (batch)
Granite 4.1
Normalized 0-100%
Arena Elo
13171306
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-oss-20b (batch)Competitive

Scores 57/100 (rank #186), placing it in the top 36% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Granite 4.1 8BCompetitive

Scores 55/100 (rank #188), placing it in the top 36% 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-oss-20b (batch) when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Granite 4.1 8B when you need:

  • High-volume production workloads where API costs must be minimized
  • Agentic applications using tool/function calling
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
gpt-oss-20b (batch)
Input cost$0.05/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.004
Est. monthly (1M tokens/day)$3.75
Granite 4.1 8BBest Value
Input cost$0.05/M tokens
Output cost$0.10/M tokens
Cost per quality point$0.003
Est. monthly (1M tokens/day)$2.25

Granite 4.1 8B offers 40% better value per quality point. At 1M tokens/day, you'd spend $2.25/month with Granite 4.1 8B vs $3.75/month with gpt-oss-20b (batch) - a $1.50 monthly difference.

Latency & Speed
gpt-oss-20b (batch)Faster
Speed score0/100
Granite 4.1 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-oss-20b (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Granite 4.1 8B also offers lower per-token costs for high-volume support

gpt-oss-20b (batch)

Long document analysis

Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass

gpt-oss-20b (batch)

Batch data extraction

Lower output pricing ($0.10/M) reduces costs when processing thousands of records daily

Granite 4.1 8B

Creative writing & content

Higher overall composite score (57/100) correlates with better nuance, coherence, and style in long-form content

gpt-oss-20b (batch)
Which Should You Choose?
Our recommendation:
gpt-oss-20b (batch)

gpt-oss-20b (batch) and Granite 4.1 8B are extremely close in overall performance (only 1.3000000000000043 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 IBM

  • Choose for Cost - 40% lower pricing; better value at scale
Capability Comparison
Capabilitygpt-oss-20b (batch)Granite 4.1 8B
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

gpt-oss-20b (batch)

OpenAI

$0.3300
estimated monthly cost

Granite 4.1 8B

IBM

Best Value
$0.2100
estimated monthly cost

Granite 4.1 8B saves you $0.1200/month

That's 36% cheaper than gpt-oss-20b (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-oss-20b (batch)Granite 4.1 8B
Context Window131K131K
Max Output Tokens117,964117,964
Open SourceYesYes
CreatedAug 5, 2025Apr 30, 2026
Last updated: 54m ago

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gpt-oss-20b (batch) vs Granite 4.1 8B (2026) | LM Market Cap