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Every score has a dated snapshot.

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  3. AionLabs: Aion-3.0-Mini vs Claude 3.7 Sonnet

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

AionLabs: Aion-3.0-Mini vs Claude 3.7 Sonnet benchmark

In this head-to-head showdown, AionLabs: Aion-3.0-Mini is more budget-friendly at $1.4/1M 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: Both AionLabs: Aion-3.0-Mini and Claude 3.7 Sonnet present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

AionLabs: Aion-3.0-Mini holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
Claude 3.7 SonnetTop code solve rate
ReasoningGPQA / Live
Claude 3.7 SonnetTop logical accuracy
Best Value$/1M Tok
AionLabs: Aion-3.0-MiniLowest API billing cost
Speed / TokTok/Sec
Claude 3.7 SonnetFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

AionLabs: Aion-3.0-Mini (2)Claude 3.7 Sonnet (1)
AionLabs: Aion-3.0-Mini
2 of 3 Wins
✓Input price✓Output price
Claude 3.7 Sonnet
1 of 3 Wins
✓Context window
aion-labs
Leads 2 of 3
AionLabs: Aion-3.0-Mini

Auto-discovered from OpenRouter (aion-labs/aion-3.0-mini). Preview until a second source matches.

In: $0.7 · Out: $1.4/1M
Anthropic
Leads 1 of 3
Claude 3.7 Sonnet

Hybrid-reasoning Sonnet from 2025. Kept for historical compare pages.

Elo 1,362In: $3 · Out: $15/1M

Claude 3.7 Sonnet Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: Medium (16k budget)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Delay
240 ms
Standard
CoT Tokens
~3,200
Internal reasoning
Cost / 1k
$54.00
9.0× base bill
Accuracy Boost
+5.2%
STEM & Logic
Top Rival Showdowns for AionLabs: Aion-3.0-Mini
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 LeaderAionLabs: Aion-3.0-Mini Wins

AionLabs: Aion-3.0-Mini

$1.4 / 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 standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

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

AionLabs: Aion-3.0-Mini (2)vsClaude 3.7 Sonnet (7)
AionLabs: Aion-3.0-Mini: 2W (22%)Overall: Claude 3.7 SonnetClaude 3.7 Sonnet: 7W (78%)
← AionLabs: Aion-3.0-MiniClaude 3.7 Sonnet →
🏆Claude 3.7 Sonnet Leads(4/5)

Intelligence & Reasoning

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

Benchmark
AionLabs: Aion-3.0-MinivsClaude 3.7 Sonnet
Preference Elo
—vs1,362
Coding Elo
—vs—
SWE-bench
—vs70.3%
LiveBench
—vs58.4%
GPQA Diamond
—vs78.5%
AionLabs: Aion-3.0-Mini: 0WClaude 3.7 Sonnet: 4W
🏆Claude 3.7 Sonnet Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
AionLabs: Aion-3.0-MinivsClaude 3.7 Sonnet
Output speed
—vs85 tok/s
Time to first token
—vs240 ms
AionLabs: Aion-3.0-Mini: 0WClaude 3.7 Sonnet: 2W
🏆AionLabs: Aion-3.0-Mini Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
AionLabs: Aion-3.0-MinivsClaude 3.7 Sonnet
Output price
$1.4/1Mvs$15/1M+$13.6/1M
Input price
$0.7/1Mvs$3/1M+$2.3/1M
Context window
131kvs200k+69k
AionLabs: Aion-3.0-Mini: 2WClaude 3.7 Sonnet: 1W

Side-by-Side Benchmark Matrix

AionLabs: Aion-3.0-MiniClaude 3.7 Sonnet
Preference Elo
AionLabs: Aion-3.0-Mini—
Claude 3.7 Sonnet1,362
LiveBench
AionLabs: Aion-3.0-Mini—
Claude 3.7 Sonnet58.4%
SWE-bench
AionLabs: Aion-3.0-Mini—
Claude 3.7 Sonnet70.3%
GPQA Diamond
AionLabs: Aion-3.0-Mini—
Claude 3.7 Sonnet78.5%
Time to first token
AionLabs: Aion-3.0-Mini—
Claude 3.7 Sonnet240 ms
Output speed
AionLabs: Aion-3.0-Mini—
Claude 3.7 Sonnet85 tok/s
Input priceAionLabs: Aion-3.0-Mini +$2.3/1M
AionLabs: Aion-3.0-Mini$0.7/1M
Claude 3.7 Sonnet$3/1M
Output priceAionLabs: Aion-3.0-Mini +$13.6/1M
AionLabs: Aion-3.0-Mini$1.4/1M
Claude 3.7 Sonnet$15/1M
Context windowClaude 3.7 Sonnet +69k
AionLabs: Aion-3.0-Mini131k
Claude 3.7 Sonnet200k
BenchmarkAionLabs: Aion-3.0-MiniClaude 3.7 SonnetAdvantage Delta
Preference Elo—
1,362
lmarena · Aug 17, 2026
—
LiveBench—
58.4%
livebench · Aug 17, 2026
—
SWE-bench—
70.3%
swebench · Aug 17, 2026
—
GPQA Diamond—
78.5%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
240 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
85 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.7/1M
openrouter · Aug 17, 2026
$3/1M
seed-bootstrap · Aug 1, 2026
+$2.3/1M
Output price
$1.4/1M
openrouter · Aug 17, 2026
$15/1M
seed-bootstrap · Aug 1, 2026
+$13.6/1M
Context window
131k
openrouter · Aug 17, 2026
200k
seed-bootstrap · Aug 1, 2026
+69k

Workload Cost & Savings Calculator

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

Save 86% with AionLabs: Aion-3.0-Mini
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
AionLabs: Aion-3.0-Mini$45.50 / mo
In: $24.5Out: $21
Claude 3.7 Sonnet$330.00 / mo
In: $105Out: $225
Estimated Cost Delta

AionLabs: Aion-3.0-Mini is estimated to save $284.50/month ($3,414/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    AionLabs: Aion-3.0-Mini:Pick AionLabs: Aion-3.0-Mini when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAionLabs: Aion-3.0-Mini

Lower output list price ($1.4/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGClaude 3.7 Sonnet

Larger window (200k).

Screenshots / visionClaude 3.7 Sonnet

Claude 3.7 Sonnet is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatAionLabs: Aion-3.0-MiniLower output list price ($1.4/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGClaude 3.7 SonnetLarger window (200k).
Screenshots / visionClaude 3.7 SonnetClaude 3.7 Sonnet is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
newsFeb 25, 2025

Claude 3.7 Sonnet stays as a historical hybrid-reasoning baseline

2025 hybrid-reasoning Sonnet. Deprecated for buying, kept for old compare URLs and “what did 3.7 score?”

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
aion-labs

AionLabs: Aion-3.0-Mini

Elo n/a
SWE-bench—
Speed (tok/s)131k
Input / 1M Tokens$0.7/1M
Output / 1M Tokens$1.4/1M
Anthropic

Claude 3.7 Sonnet

Elo 1,362
SWE-bench70.3%
Speed (tok/s)85 tok/s
Input / 1M Tokens$3/1M
Output / 1M Tokens$15/1M

Frequently Asked Questions

Which is better overall, AionLabs: Aion-3.0-Mini or Claude 3.7 Sonnet?
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, AionLabs: Aion-3.0-Mini or Claude 3.7 Sonnet?
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?
AionLabs: Aion-3.0-Mini output tokens are $1.4/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, AionLabs: Aion-3.0-Mini or Claude 3.7 Sonnet?
We do not have TTFT for both models.
Which has the larger context window?
Claude 3.7 Sonnet accepts 200k tokens versus 131k.
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. AionLabs: Aion-3.0-Mini and Claude 3.7 Sonnet Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • news · Feb 25, 2025

    Claude 3.7 Sonnet stays as a historical hybrid-reasoning baseline

Similar Head-to-Head Comparisons

All AionLabs: Aion-3.0-Mini matchups →|All Claude 3.7 Sonnet matchups →
Claude 3.7 Sonnet vs Claude 3.5 Sonnet (previous sonnet)Claude 3.7 Sonnet vs Claude Sonnet 4 (next sonnet)Claude Opus 4.5 vs Claude 3.7 SonnetClaude Opus 4.6 vs Claude 3.7 SonnetClaude Sonnet 4.5 vs Claude 3.7 SonnetClaude Opus 5 vs Claude 3.7 Sonnet