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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 (batch) vs Llama 3.1 405B

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

Thinking Machines: Inkling (batch) vs Llama 3.1 405B benchmark

In this head-to-head showdown, Thinking Machines: Inkling (batch) is more budget-friendly at $2.03/1M 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 (batch) and Llama 3.1 405B present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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thinkingmachines
Thinking Machines: Inkling (batch)

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

$2.025/1M out
Meta
Llama 3.1 405B

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

Elo 1,370$3.5/1M out
Top Rival Showdowns for Thinking Machines: Inkling (batch)
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 Leader

Thinking Machines: Inkling (batch)

$2.025 / 1M output

Capability Percentiles

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

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 AdvantageLlama 3.1 405B 4/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Thinking Machines: Inkling (batch) (3)vsLlama 3.1 405B (7)
Thinking Machines: Inkling (batch): 3W (30%)Overall: Llama 3.1 405BLlama 3.1 405B: 7W (70%)
← Thinking Machines: Inkling (batch)Llama 3.1 405B →
Llama 3.1 405B (5/5)

Intelligence & Reasoning

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

Preference Elo
—vs1,370
Coding Elo
—vs1,385
SWE-bench
—vs58.4%
LiveBench
—vs61.2%
GPQA Diamond
—vs75.2%
Thinking Machines: Inkling (batch): 0WLlama 3.1 405B: 5W
Llama 3.1 405B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs42 tok/s
Time to first token
—vs360 ms
Thinking Machines: Inkling (batch): 0WLlama 3.1 405B: 2W
Thinking Machines: Inkling (batch) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$2.03/1Mvs$3.5/1M
Input price
$0.5/1Mvs$1.25/1M
Context window
524kvs128k
Thinking Machines: Inkling (batch): 3WLlama 3.1 405B: 0W

Side-by-Side Benchmark Matrix

Preference Elo
Thinking Machines: Inkling (batch)—
Llama 3.1 405B1,370
lmarena · Aug 17, 2026
Coding Elo
Thinking Machines: Inkling (batch)—
Llama 3.1 405B1,385
lmarena · Aug 17, 2026
LiveBench
Thinking Machines: Inkling (batch)—
Llama 3.1 405B61.2%
livebench · Aug 17, 2026
SWE-bench
Thinking Machines: Inkling (batch)—
Llama 3.1 405B58.4%
swebench · Aug 17, 2026
GPQA Diamond
Thinking Machines: Inkling (batch)—
Llama 3.1 405B75.2%
seed-bootstrap · Aug 1, 2026
Time to first token
Thinking Machines: Inkling (batch)—
Llama 3.1 405B360 ms
seed-bootstrap · Aug 1, 2026
Output speed
Thinking Machines: Inkling (batch)—
Llama 3.1 405B42 tok/s
seed-bootstrap · Aug 1, 2026
Input priceThinking Machines: Inkling (batch) (+$0.75/1M)
Thinking Machines: Inkling (batch)$0.5/1M
openrouter · Aug 17, 2026
Llama 3.1 405B$1.25/1M
seed-bootstrap · Aug 1, 2026
Output priceThinking Machines: Inkling (batch) (+$1.48/1M)
Thinking Machines: Inkling (batch)$2.03/1M
openrouter · Aug 17, 2026
Llama 3.1 405B$3.5/1M
seed-bootstrap · Aug 1, 2026
Context windowThinking Machines: Inkling (batch) (+396k)
Thinking Machines: Inkling (batch)524k
openrouter · Aug 17, 2026
Llama 3.1 405B128k
seed-bootstrap · Aug 1, 2026
BenchmarkThinking Machines: Inkling (batch)Llama 3.1 405BAdvantage 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
$0.5/1M
openrouter · Aug 17, 2026
$1.25/1M
seed-bootstrap · Aug 1, 2026
Thinking Machines: Inkling (batch) (+$0.75/1M)
Output price
$2.03/1M
openrouter · Aug 17, 2026
$3.5/1M
seed-bootstrap · Aug 1, 2026
Thinking Machines: Inkling (batch) (+$1.48/1M)
Context window
524k
openrouter · Aug 17, 2026
128k
seed-bootstrap · Aug 1, 2026
Thinking Machines: Inkling (batch) (+396k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 50% with Thinking Machines: Inkling (batch)
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 (batch)$47.88 / mo
In: $17.5Out: $30.38
Llama 3.1 405B$96.25 / mo
In: $43.75Out: $52.5
Estimated Cost Delta

Thinking Machines: Inkling (batch) is estimated to save $48.38/month ($581/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Thinking Machines: Inkling (batch):Pick Thinking Machines: Inkling (batch) when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatThinking Machines: Inkling (batch)

Lower output list price ($2.03/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGThinking Machines: Inkling (batch)

Larger window (524k).

Screenshots / visionLlama 3.1 405B

Llama 3.1 405B 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 (batch)Lower output list price ($2.03/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGThinking Machines: Inkling (batch)Larger window (524k).
Screenshots / visionLlama 3.1 405BLlama 3.1 405B is the side marked multimodal in the catalog.
Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
thinkingmachines

Thinking Machines: Inkling (batch)

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$2.03/1M
Meta

Llama 3.1 405B

Elo 1,370
LiveBench61.2%
SWE-bench58.4%
Speed42 tok/s
Output cost$3.5/1M

Frequently Asked Questions

Which is better overall, Thinking Machines: Inkling (batch) or Llama 3.1 405B?
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 (batch) or Llama 3.1 405B?
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 (batch) output tokens are $2.03/1M versus $3.5/1M. Input prices and retry rates still move the real bill.
Which is faster, Thinking Machines: Inkling (batch) or Llama 3.1 405B?
We do not have TTFT for both models.
Which has the larger context window?
Thinking Machines: Inkling (batch) accepts 524k tokens versus 128k.
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. Thinking Machines: Inkling (batch) and Llama 3.1 405B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Thinking Machines: Inkling (batch) matchups →|All Llama 3.1 405B matchups →
Llama 3.1 405B vs Llama 3.1 70B (next llama)Llama 4 Maverick vs Llama 3.1 405BLlama 3.3 70B vs Llama 3.1 405BLlama 4 Scout vs Llama 3.1 405BClaude Opus 4.5 vs Llama 3.1 405BClaude Opus 4.6 vs Llama 3.1 405B