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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. Llama 3.1 405B vs AllenAI: Olmo 3 32B Think

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Llama 3.1 405B vs AllenAI: Olmo 3 32B Think benchmark

In this head-to-head showdown, AllenAI: Olmo 3 32B Think is more budget-friendly at $0.5/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose Llama 3.1 405B if your priority is peak reasoning, complex code generation, and top preference Elo. Choose AllenAI: Olmo 3 32B Think if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Verified Head-to-Head Advantage Breakdown

3 direct benchmark disciplines evaluated across capability, speed, and cost

Llama 3.1 405B (1)AllenAI: Olmo 3 32B Think (2)
Llama 3.1 405B
1 of 3 Wins
✓Context window
AllenAI: Olmo 3 32B Think
2 of 3 Wins
✓Input price✓Output price
Meta
Leads 1 of 3 metrics
Llama 3.1 405B

Meta flagship open-weight 405B dense foundation model with 128k context window.

Elo 1,370$3.5/1M out
allenai
Leads 2 of 3 metrics
AllenAI: Olmo 3 32B Think

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

$0.5/1M out
Top Rival Showdowns for Llama 3.1 405B
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderAllenAI: Olmo 3 32B Think Wins

AllenAI: Olmo 3 32B Think

$0.5 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Llama 3.1 405B (8)vsAllenAI: Olmo 3 32B Think (2)
Llama 3.1 405B: 8W (80%)Overall: Llama 3.1 405BAllenAI: Olmo 3 32B Think: 2W (20%)
← Llama 3.1 405BAllenAI: Olmo 3 32B Think →
🏆Llama 3.1 405B(5/5)

Intelligence & Reasoning

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

Benchmark
Llama 3.1 405BvsAllenAI: Olmo 3 32B Think
Preference Elo
1,370vs—
Coding Elo
1,385vs—
SWE-bench
58.4%vs—
LiveBench
61.2%vs—
GPQA Diamond
75.2%vs—
Llama 3.1 405B: 5WAllenAI: Olmo 3 32B Think: 0W
🏆Llama 3.1 405B(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Llama 3.1 405BvsAllenAI: Olmo 3 32B Think
Output speed
42 tok/svs—
Time to first token
360 msvs—
Llama 3.1 405B: 2WAllenAI: Olmo 3 32B Think: 0W
🏆AllenAI: Olmo 3 32B Think(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Llama 3.1 405BvsAllenAI: Olmo 3 32B Think
Output price
$3.5/1Mvs$0.5/1M+$3/1M
Input price
$1.25/1Mvs$0.15/1M+$1.1/1M
Context window
128kvs66k+62k
Llama 3.1 405B: 1WAllenAI: Olmo 3 32B Think: 2W

Side-by-Side Benchmark Matrix

Preference Elo
Llama 3.1 405B1,370
lmarena · Aug 17, 2026
AllenAI: Olmo 3 32B Think—
Coding Elo
Llama 3.1 405B1,385
lmarena · Aug 17, 2026
AllenAI: Olmo 3 32B Think—
LiveBench
Llama 3.1 405B61.2%
livebench · Aug 17, 2026
AllenAI: Olmo 3 32B Think—
SWE-bench
Llama 3.1 405B58.4%
swebench · Aug 17, 2026
AllenAI: Olmo 3 32B Think—
GPQA Diamond
Llama 3.1 405B75.2%
seed-bootstrap · Aug 1, 2026
AllenAI: Olmo 3 32B Think—
Time to first token
Llama 3.1 405B360 ms
seed-bootstrap · Aug 1, 2026
AllenAI: Olmo 3 32B Think—
Output speed
Llama 3.1 405B42 tok/s
seed-bootstrap · Aug 1, 2026
AllenAI: Olmo 3 32B Think—
Input price+$1.1/1M
Llama 3.1 405B$1.25/1M
seed-bootstrap · Aug 1, 2026
AllenAI: Olmo 3 32B Think$0.15/1M
openrouter · Aug 17, 2026
Output price+$3/1M
Llama 3.1 405B$3.5/1M
seed-bootstrap · Aug 1, 2026
AllenAI: Olmo 3 32B Think$0.5/1M
openrouter · Aug 17, 2026
Context window+62k
Llama 3.1 405B128k
seed-bootstrap · Aug 1, 2026
AllenAI: Olmo 3 32B Think66k
openrouter · Aug 17, 2026
BenchmarkLlama 3.1 405BAllenAI: Olmo 3 32B ThinkAdvantage Delta
Preference Elo
1,370
lmarena · Aug 17, 2026
——
Coding Elo
1,385
lmarena · Aug 17, 2026
——
LiveBench
61.2%
livebench · Aug 17, 2026
——
SWE-bench
58.4%
swebench · Aug 17, 2026
——
GPQA Diamond
75.2%
seed-bootstrap · Aug 1, 2026
——
Time to first token
360 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
42 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$1.25/1M
seed-bootstrap · Aug 1, 2026
$0.15/1M
openrouter · Aug 17, 2026
+$1.1/1M
Output price
$3.5/1M
seed-bootstrap · Aug 1, 2026
$0.5/1M
openrouter · Aug 17, 2026
+$3/1M
Context window
128k
seed-bootstrap · Aug 1, 2026
66k
openrouter · Aug 17, 2026
+62k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 87% 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)
Llama 3.1 405B$96.25 / mo
In: $43.75Out: $52.5
AllenAI: Olmo 3 32B Think$12.75 / mo
In: $5.25Out: $7.5
Estimated Cost Delta

AllenAI: Olmo 3 32B Think is estimated to save $83.50/month ($1,002/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 RAGLlama 3.1 405B

Larger window (128k).

Screenshots / visionAllenAI: Olmo 3 32B Think

AllenAI: Olmo 3 32B Think 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 RAGLlama 3.1 405BLarger window (128k).
Screenshots / visionAllenAI: Olmo 3 32B ThinkAllenAI: Olmo 3 32B Think is the side marked multimodal in the catalog.
Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Meta

Llama 3.1 405B

Elo 1,370
SWE-bench58.4%
Speed (tok/s)42 tok/s
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$3.5/1M
allenai

AllenAI: Olmo 3 32B Think

Elo n/a
SWE-bench—
Speed (tok/s)66k
Input / 1M Tokens$0.15/1M
Output / 1M Tokens$0.5/1M

Frequently Asked Questions

Which is better overall, Llama 3.1 405B 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, Llama 3.1 405B 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 $3.5/1M. Input prices and retry rates still move the real bill.
Which is faster, Llama 3.1 405B or AllenAI: Olmo 3 32B Think?
We do not have TTFT for both models.
Which has the larger context window?
Llama 3.1 405B accepts 128k tokens versus 66k.
Can I self-host either model?
Llama 3.1 405B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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. Llama 3.1 405B and AllenAI: Olmo 3 32B Think Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Llama 3.1 405B matchups →|All AllenAI: Olmo 3 32B Think matchups →
Llama 3.1 405B vs Llama 3.1 70B (next llama)Llama 4 Maverick vs Llama 3.1 405BLlama 4 Scout vs Llama 3.1 405BLlama 3.3 70B vs Llama 3.1 405BMistral Large 3 vs Llama 3.1 405BDoubao Pro 1.5 vs Llama 3.1 405B