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  3. GPT-5 mini vs AllenAI: Olmo 3 32B Think

Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

GPT-5 mini vs AllenAI: Olmo 3 32B Think benchmark

This page compares GPT-5 mini (OpenAI) and AllenAI: Olmo 3 32B Think (allenai) using the latest snapshots we have as of Aug 16, 2026. AllenAI: Olmo 3 32B Think wins on output price at $0.5/1M. GPT-5 mini has the larger context window (400k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

Quick answer

GPT-5 mini vs AllenAI: Olmo 3 32B Think is a dated snapshot, not a lab score. AllenAI: Olmo 3 32B Think is the cheaper output token. Elo is crowd preference, not an exam. Pick the column that matches the job.
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OpenAI

GPT-5 mini

Cost-efficient GPT-5 distill for high-volume agents.

Elo 1,410$2/1M out

allenai

AllenAI: Olmo 3 32B Think

Auto-discovered from OpenRouter (allenai/olmo-3-32b-think). Preview until a second source matches.

$0.5/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

Model A
Model B
Quick vs:vs Claude Opus 4.5vs Claude Opus 4.6vs Claude Sonnet 4.5vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GPT-5 mini (8)vsAllenAI: Olmo 3 32B Think (2)
GPT-5 mini: 8W (80%)Overall: GPT-5 miniAllenAI: Olmo 3 32B Think: 2W (20%)
← GPT-5 miniAllenAI: Olmo 3 32B Think →
GPT-5 mini (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo
1,410vs—
Coding Elo
1,395vs—
SWE-bench
52.4%vs—
LiveBench
61.2%vs—
GPQA Diamond
72%vs—
GPT-5 mini: 5WAllenAI: Olmo 3 32B Think: 0W
GPT-5 mini (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
155 tok/svs—
Time to first token
140 msvs—
GPT-5 mini: 2WAllenAI: Olmo 3 32B Think: 0W
AllenAI: Olmo 3 32B Think (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$2/1Mvs$0.5/1M
Input price
$0.25/1Mvs$0.15/1M
Context window
400kvs66k
GPT-5 mini: 1WAllenAI: Olmo 3 32B Think: 2W
Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageGPT-5 mini 5/6
Preference Elo

No shared data

No shared data

Throughput Speed

No shared data

No shared data

Price Efficiency

AllenAI: Olmo 3 32B Think

$1.50/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
1,410
EloHigh is better
—
Code Elo
High is better
1,395
Code EloHigh is better
—
LiveBench
High is better
61.2%
LiveBenchHigh is better
—
SWE-bench
High is better
52.4%
SWE-benchHigh is better
—
GPQA
High is better
72%
GPQAHigh is better
—
TTFT
Low is better
140 ms
TTFTLow is better
—
Speed
High is better
155 tok/s
SpeedHigh is better
—
In $
Low is better
$0.25/1M
In $Low is better
$0.15/1M+67%
Out $
Low is better
$2/1M
Out $Low is better
$0.5/1M+300%
Context
High is better
+510%400k
ContextHigh is better
66k
Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 67% with AllenAI: Olmo 3 32B Think
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
GPT-5 mini$38.75 / mo
In: $8.75Out: $30.00
AllenAI: Olmo 3 32B Think$12.75 / mo
In: $5.25Out: $7.50
Estimated Cost Delta

AllenAI: Olmo 3 32B Think is estimated to save $26.00/month ($312/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    AllenAI: Olmo 3 32B Think:Pick AllenAI: Olmo 3 32B Think when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAllenAI: Olmo 3 32B Think

Lower output list price ($0.5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-5 mini

Larger window (400k).

Screenshots / visionGPT-5 mini

GPT-5 mini is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatAllenAI: Olmo 3 32B ThinkLower output list price ($0.5/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGPT-5 miniLarger window (400k).
Screenshots / visionGPT-5 miniGPT-5 mini is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchAug 8, 2025

GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

High-volume agents that cannot pay Sol. Compare to Luna before you assume the new cheap SKU wins.

Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
OpenAI

GPT-5 mini

Elo 1,410
LiveBench61.2%
SWE-bench52.4%
Speed155 tok/s
Output cost$2/1M
allenai

AllenAI: Olmo 3 32B Think

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$0.5/1M

Frequently Asked Questions

Which is better overall, GPT-5 mini or AllenAI: Olmo 3 32B Think?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, GPT-5 mini or AllenAI: Olmo 3 32B Think?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
AllenAI: Olmo 3 32B Think output tokens are $0.5/1M versus $2/1M. Input prices and retry rates still move the real bill.
Which is faster, GPT-5 mini or AllenAI: Olmo 3 32B Think?
We do not have TTFT for both models.
Which has the larger context window?
GPT-5 mini accepts 400k tokens versus 66k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. GPT-5 mini and AllenAI: Olmo 3 32B Think Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Aug 8, 2025

    GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

Similar Head-to-Head Comparisons

All GPT-5 mini matchups →|All AllenAI: Olmo 3 32B Think matchups →
GPT-5 mini vs OpenAI: o3 Mini (previous gpt-mini)GPT-5 mini vs GPT-5.6 Luna (next gpt-mini)GPT-4.5 Orion vs GPT-5 miniGPT-5.6 Terra vs GPT-5 miniGPT-5 vs GPT-5 miniGPT-5.6 Sol vs GPT-5 mini