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

Thinking Machines: Inkling Small vs Llama 3.3 70B benchmark

Name: Thinking Machines: Inkling Small vs Llama 3.3 70B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Llama 3.3 70B is more budget-friendly at $0.32/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

Llama 3.3 70B holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench

Llama 3.3 70BTop code solve rate

ReasoningGPQA / Live

Llama 3.3 70BTop logical accuracy

Best Value$/1M Tok

Llama 3.3 70BLowest API billing cost

Speed / TokTok/Sec

Llama 3.3 70BFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Thinking Machines: Inkling Small (1)Llama 3.3 70B (2)

Thinking Machines: Inkling Small

1 of 3 Wins

✓Context window

Llama 3.3 70B

2 of 3 Wins

✓Input price✓Output price

thinkingmachines

Leads 1 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

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderLlama 3.3 70B Wins

Llama 3.3 70B

$0.32 / 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 (1)vsLlama 3.3 70B (8)

Thinking Machines: Inkling Small: 1W (11%)Llama 3.3 70B: 8W (89%)

← Thinking Machines: Inkling SmallLlama 3.3 70B →

🏆Llama 3.3 70B Leads(4/5)

Intelligence & Reasoning

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

Benchmark

Thinking Machines: Inkling SmallvsLlama 3.3 70B

Preference Elo

—vs1,285

Coding Elo

—vs—

SWE-bench

—vs45.1%

LiveBench

—vs49.8%

GPQA Diamond

—vs65.7%

Thinking Machines: Inkling Small: 0WLlama 3.3 70B: 4W

🏆Llama 3.3 70B Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

Thinking Machines: Inkling SmallvsLlama 3.3 70B

Output speed

—vs140 tok/s

Time to first token

—vs160 ms

Thinking Machines: Inkling Small: 0WLlama 3.3 70B: 2W

🏆Llama 3.3 70B Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

Thinking Machines: Inkling SmallvsLlama 3.3 70B

Output price

$1.2/1Mvs$0.32/1M+$0.88/1M

Input price

$0.45/1Mvs$0.1/1M+$0.35/1M

Context window

524kvs131k+393k

Thinking Machines: Inkling Small: 1WLlama 3.3 70B: 2W

Side-by-Side Benchmark Matrix

Thinking Machines: Inkling SmallLlama 3.3 70B

Preference Elo

Thinking Machines: Inkling Small—

Llama 3.3 70B1,285

LiveBench

Thinking Machines: Inkling Small—

Llama 3.3 70B49.8%

SWE-bench

Thinking Machines: Inkling Small—

Llama 3.3 70B45.1%

GPQA Diamond

Thinking Machines: Inkling Small—

Llama 3.3 70B65.7%

Time to first token

Thinking Machines: Inkling Small—

Llama 3.3 70B160 ms

Output speed

Thinking Machines: Inkling Small—

Llama 3.3 70B140 tok/s

Input priceLlama 3.3 70B +$0.35/1M

Thinking Machines: Inkling Small$0.45/1M

Llama 3.3 70B$0.1/1M

Output priceLlama 3.3 70B +$0.88/1M

Thinking Machines: Inkling Small$1.2/1M

Llama 3.3 70B$0.32/1M

Context windowThinking Machines: Inkling Small +393k

Thinking Machines: Inkling Small524k

Llama 3.3 70B131k

Benchmark	Thinking Machines: Inkling Small	Llama 3.3 70B	Advantage Delta
Preference Elo	—	1,285 lmarena · Aug 17, 2026	—
LiveBench	—	49.8% livebench · Aug 17, 2026	—
SWE-bench	—	45.1% swebench · Aug 17, 2026	—
GPQA Diamond	—	65.7% seed-bootstrap · Aug 1, 2026	—
Time to first token	—	160 ms seed-bootstrap · Aug 1, 2026	—
Output speed	—	140 tok/s seed-bootstrap · Aug 1, 2026	—
Input price	$0.45/1M openrouter · Aug 17, 2026	$0.1/1M openrouter · Aug 17, 2026	+$0.35/1M
Output price	$1.2/1M openrouter · Aug 17, 2026	$0.32/1M openrouter · Aug 17, 2026	+$0.88/1M
Context window	524k openrouter · Aug 17, 2026	131k openrouter · Aug 17, 2026	+393k

Workload Cost & Savings Calculator

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

Save 75% with Llama 3.3 70B

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

Llama 3.3 70B$8.30 / mo

In: $3.5Out: $4.8

Estimated Cost Delta

Llama 3.3 70B is estimated to save $25.45/month ($305/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Llama 3.3 70B:Pick Llama 3.3 70B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatLlama 3.3 70B

Lower output list price ($0.32/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGThinking Machines: Inkling Small

Larger window (524k).

Screenshots / visionLlama 3.3 70B

Llama 3.3 70B is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Llama 3.3 70B	Lower output list price ($0.32/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Thinking Machines: Inkling Small	Larger window (524k).
Screenshots / vision	Llama 3.3 70B	Llama 3.3 70B is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchDec 6, 2024

Llama 3.3 70B stays as the previous Meta 70B workhorse

Dec 2024 instruct 70B. Still a self-host baseline. Llama 4 is the 2026 buy.

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

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

Llama 3.3 70B

Elo 1,285

SWE-bench45.1%

Speed (tok/s)140 tok/s

Input / 1M Tokens$0.1/1M

Output / 1M Tokens$0.32/1M

Frequently Asked Questions

Which is better overall, Thinking Machines: Inkling Small or Llama 3.3 70B?: 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 Llama 3.3 70B?: 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?: Llama 3.3 70B output tokens are $0.32/1M versus $1.2/1M. Input prices and retry rates still move the real bill.
Which is faster, Thinking Machines: Inkling Small or Llama 3.3 70B?: We do not have TTFT for both models.
Which has the larger context window?: Thinking Machines: Inkling Small accepts 524k tokens versus 131k.
Can I self-host either model?: Llama 3.3 70B 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. Thinking Machines: Inkling Small and Llama 3.3 70B 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 Llama 3.3 70B matchups →

Llama 3.3 70B vs Llama 3.1 70B (previous llama)Llama 3.3 70B vs Llama 4 Maverick (next llama)Llama 4 Scout vs Llama 3.3 70B Llama 3.1 405B vs Llama 3.3 70B Claude Opus 4.5 vs Llama 3.3 70B Claude Opus 4.6 vs Llama 3.3 70B

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

Side-by-Side Benchmark Matrix

Thinking Machines: Inkling SmallLlama 3.3 70B

Preference Elo

Thinking Machines: Inkling Small—

Llama 3.3 70B1,285

LiveBench

Thinking Machines: Inkling Small—

Llama 3.3 70B49.8%

SWE-bench

Thinking Machines: Inkling Small—

Llama 3.3 70B45.1%

GPQA Diamond

Thinking Machines: Inkling Small—

Llama 3.3 70B65.7%

Time to first token

Thinking Machines: Inkling Small—

Llama 3.3 70B160 ms

Output speed

Thinking Machines: Inkling Small—

Llama 3.3 70B140 tok/s

Input priceLlama 3.3 70B +$0.35/1M

Thinking Machines: Inkling Small$0.45/1M

Llama 3.3 70B$0.1/1M

Output priceLlama 3.3 70B +$0.88/1M

Thinking Machines: Inkling Small$1.2/1M

Llama 3.3 70B$0.32/1M

Context windowThinking Machines: Inkling Small +393k

Thinking Machines: Inkling Small524k

Llama 3.3 70B131k

Benchmark

Thinking Machines: Inkling Small

Llama 3.3 70B

Advantage Delta

Preference Elo

—

1,285

lmarena · Aug 17, 2026

—

LiveBench

—

49.8%

livebench · Aug 17, 2026

—

SWE-bench

—

45.1%

swebench · Aug 17, 2026

—

GPQA Diamond

—

65.7%

seed-bootstrap · Aug 1, 2026

—

Time to first token

—

160 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

—

140 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$0.45/1M

openrouter · Aug 17, 2026

$0.1/1M

openrouter · Aug 17, 2026

+$0.35/1M

Output price

$1.2/1M

openrouter · Aug 17, 2026

$0.32/1M

openrouter · Aug 17, 2026

+$0.88/1M

Context window

524k

openrouter · Aug 17, 2026

131k

openrouter · Aug 17, 2026

+393k

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatLlama 3.3 70B

Lower output list price ($0.32/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGThinking Machines: Inkling Small

Larger window (524k).

Screenshots / visionLlama 3.3 70B

Llama 3.3 70B is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Llama 3.3 70B	Lower output list price ($0.32/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Thinking Machines: Inkling Small	Larger window (524k).
Screenshots / vision	Llama 3.3 70B	Llama 3.3 70B is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Thinking Machines: Inkling Small or Llama 3.3 70B?

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 Llama 3.3 70B?

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?

Llama 3.3 70B output tokens are $0.32/1M versus $1.2/1M. Input prices and retry rates still move the real bill.

Which is faster, Thinking Machines: Inkling Small or Llama 3.3 70B?

We do not have TTFT for both models.

Which has the larger context window?

Thinking Machines: Inkling Small accepts 524k tokens versus 131k.

Can I self-host either model?

Llama 3.3 70B 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. Thinking Machines: Inkling Small and Llama 3.3 70B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Llama 3.3 70B holds empirical advantage (2 of 3 metrics)

Verified Advantage Breakdown

No shared data

No shared data

Llama 3.3 70B

Capability Percentiles

Leaders Matchup Capability Radar

Overall Matchup Breakdown

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Side-by-Side Benchmark Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Llama 3.3 70B stays as the previous Meta 70B workhorse

Cast Your Matchup Vote

Community Discussions (0)

Social Share Card Preview

CompareLLM AI Matrix

Thinking Machines: Inkling Small

Llama 3.3 70B

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Llama 3.3 70B holds empirical advantage (2 of 3 metrics)

Verified Advantage Breakdown

No shared data

No shared data

Llama 3.3 70B

Capability Percentiles

Leaders Matchup Capability Radar

Overall Matchup Breakdown

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Side-by-Side Benchmark Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Llama 3.3 70B stays as the previous Meta 70B workhorse

Cast Your Matchup Vote

Community Discussions (0)

Social Share Card Preview

CompareLLM AI Matrix

Thinking Machines: Inkling Small

Llama 3.3 70B

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons