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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. Thinking Machines: Inkling Small vs OpenAI: o1

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

Thinking Machines: Inkling Small vs OpenAI: o1 benchmark

In this head-to-head showdown, Thinking Machines: Inkling Small is more budget-friendly at $1.2/1M 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 Thinking Machines: Inkling Small and OpenAI: o1 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

Thinking Machines: Inkling Small holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
OpenAI: o1Top code solve rate
ReasoningGPQA / Live
OpenAI: o1Top logical accuracy
Best Value$/1M Tok
Thinking Machines: Inkling SmallLowest API billing cost
Speed / TokTok/Sec
OpenAI: o1Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Thinking Machines: Inkling Small (3)OpenAI: o1 (0)
Thinking Machines: Inkling Small
3 of 3 Wins
✓Input price✓Output price✓Context window
OpenAI: o1
0 of 3 Wins
Competitive baseline across remaining benchmarks
thinkingmachines
Leads 3 of 3
Thinking Machines: Inkling Small

Auto-discovered from OpenRouter (thinkingmachines/inkling-small). Preview until a second source matches.

In: $0.45 · Out: $1.2/1M
OpenAI
OpenAI: o1

Auto-discovered from OpenRouter (openai/o1). Preview until a second source matches.

Elo 1,512In: $15 · Out: $60/1M

OpenAI: o1 Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

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
420 ms
Standard
CoT Tokens
~1,500
Internal reasoning
Cost / 1k
$115.50
4.5× base bill
Accuracy Boost
+4.5%
STEM & Logic
Top Rival Showdowns for Thinking Machines: Inkling Small
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 LeaderThinking Machines: Inkling Small Wins

Thinking Machines: Inkling Small

$1.2 / 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.

Thinking Machines: Inkling Small (3)vsOpenAI: o1 (7)
Thinking Machines: Inkling Small: 3W (30%)Overall: OpenAI: o1OpenAI: o1: 7W (70%)
← Thinking Machines: Inkling SmallOpenAI: o1 →
🏆OpenAI: o1 Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Thinking Machines: Inkling SmallvsOpenAI: o1
Preference Elo
—vs1,512
Coding Elo
—vs1,485
SWE-bench
—vs48.9%
LiveBench
—vs65.4%
GPQA Diamond
—vs78%
Thinking Machines: Inkling Small: 0WOpenAI: o1: 5W
🏆OpenAI: o1 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Thinking Machines: Inkling SmallvsOpenAI: o1
Output speed
—vs45 tok/s
Time to first token
—vs420 ms
Thinking Machines: Inkling Small: 0WOpenAI: o1: 2W
🏆Thinking Machines: Inkling Small Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Thinking Machines: Inkling SmallvsOpenAI: o1
Output price
$1.2/1Mvs$60/1M+$58.8/1M
Input price
$0.45/1Mvs$15/1M+$14.55/1M
Context window
524kvs200k+324k
Thinking Machines: Inkling Small: 3WOpenAI: o1: 0W

Side-by-Side Benchmark Matrix

Thinking Machines: Inkling SmallOpenAI: o1
Preference Elo
Thinking Machines: Inkling Small—
OpenAI: o11,512
Coding Elo
Thinking Machines: Inkling Small—
OpenAI: o11,485
LiveBench
Thinking Machines: Inkling Small—
OpenAI: o165.4%
SWE-bench
Thinking Machines: Inkling Small—
OpenAI: o148.9%
GPQA Diamond
Thinking Machines: Inkling Small—
OpenAI: o178%
Time to first token
Thinking Machines: Inkling Small—
OpenAI: o1420 ms
Output speed
Thinking Machines: Inkling Small—
OpenAI: o145 tok/s
Input priceThinking Machines: Inkling Small +$14.55/1M
Thinking Machines: Inkling Small$0.45/1M
OpenAI: o1$15/1M
Output priceThinking Machines: Inkling Small +$58.8/1M
Thinking Machines: Inkling Small$1.2/1M
OpenAI: o1$60/1M
Context windowThinking Machines: Inkling Small +324k
Thinking Machines: Inkling Small524k
OpenAI: o1200k
BenchmarkThinking Machines: Inkling SmallOpenAI: o1Advantage Delta
Preference Elo—
1,512
lmarena · Aug 17, 2026
—
Coding Elo—
1,485
lmarena · Aug 17, 2026
—
LiveBench—
65.4%
livebench · Aug 17, 2026
—
SWE-bench—
48.9%
swebench · Aug 17, 2026
—
GPQA Diamond—
78%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
420 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
45 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.45/1M
openrouter · Aug 17, 2026
$15/1M
openrouter · Aug 17, 2026
+$14.55/1M
Output price
$1.2/1M
openrouter · Aug 17, 2026
$60/1M
openrouter · Aug 17, 2026
+$58.8/1M
Context window
524k
openrouter · Aug 17, 2026
200k
openrouter · Aug 17, 2026
+324k

Workload Cost & Savings Calculator

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

Save 98% with Thinking Machines: Inkling Small
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Thinking Machines: Inkling Small$33.75 / mo
In: $15.75Out: $18
OpenAI: o1$1,425.00 / mo
In: $525Out: $900
Estimated Cost Delta

Thinking Machines: Inkling Small is estimated to save $1,391.25/month ($16,695/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Thinking Machines: Inkling Small:Pick Thinking Machines: Inkling Small when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatThinking Machines: Inkling Small

Lower output list price ($1.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGThinking Machines: Inkling Small

Larger window (524k).

Screenshots / visionOpenAI: o1

OpenAI: o1 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatThinking Machines: Inkling SmallLower output list price ($1.2/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGThinking Machines: Inkling SmallLarger window (524k).
Screenshots / visionOpenAI: o1OpenAI: o1 is the side marked multimodal in the catalog.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
thinkingmachines

Thinking Machines: Inkling Small

Elo n/a
SWE-bench—
Speed (tok/s)524k
Input / 1M Tokens$0.45/1M
Output / 1M Tokens$1.2/1M
OpenAI

OpenAI: o1

Elo 1,512
SWE-bench48.9%
Speed (tok/s)45 tok/s
Input / 1M Tokens$15/1M
Output / 1M Tokens$60/1M

Frequently Asked Questions

Which is better overall, Thinking Machines: Inkling Small or OpenAI: o1?
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, Thinking Machines: Inkling Small or OpenAI: o1?
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?
Thinking Machines: Inkling Small output tokens are $1.2/1M versus $60/1M. Input prices and retry rates still move the real bill.
Which is faster, Thinking Machines: Inkling Small or OpenAI: o1?
We do not have TTFT for both models.
Which has the larger context window?
Thinking Machines: Inkling Small accepts 524k tokens versus 200k.
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. Thinking Machines: Inkling Small and OpenAI: o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Thinking Machines: Inkling Small matchups →|All OpenAI: o1 matchups →
OpenAI: o1 vs GPT-4o (previous gpt-flagship)OpenAI: o1 vs GPT-4.5 Orion (next gpt-flagship)GPT-5 vs OpenAI: o1GPT-5.6 Sol vs OpenAI: o1GPT-5.6 Terra vs OpenAI: o1GPT-5 mini vs OpenAI: o1