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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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  2. Comparisons
  3. Command A vs Thinking Machines: Inkling (batch)

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

Command A vs Thinking Machines: Inkling (batch) benchmark

In this head-to-head showdown, Thinking Machines: Inkling (batch) is more budget-friendly at $2.025/1M 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 Command A if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Thinking Machines: Inkling (batch) 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

Command A (0)Thinking Machines: Inkling (batch) (3)
Command A
0 of 3 Wins
Competitive baseline across remaining benchmarks
Thinking Machines: Inkling (batch)
3 of 3 Wins
✓Input price✓Output price✓Context window
Cohere
Command A

Cohere enterprise RAG and tool-use model.

Elo 1,344$10/1M out
thinkingmachines
Leads 3 of 3 metrics
Thinking Machines: Inkling (batch)

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

$2.025/1M out
Top Rival Showdowns for Command A
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 (batch) Wins

Thinking Machines: Inkling (batch)

$2.025 / 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.

Command A (6)vsThinking Machines: Inkling (batch) (3)
Command A: 6W (67%)Overall: Command AThinking Machines: Inkling (batch): 3W (33%)
← Command AThinking Machines: Inkling (batch) →
🏆Command A(4/5)

Intelligence & Reasoning

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

Benchmark
Command AvsThinking Machines: Inkling (batch)
Preference Elo
1,344vs—
Coding Elo
—vs—
SWE-bench
42.6%vs—
LiveBench
56.2%vs—
GPQA Diamond
66%vs—
Command A: 4WThinking Machines: Inkling (batch): 0W
🏆Command A(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Command AvsThinking Machines: Inkling (batch)
Output speed
118 tok/svs—
Time to first token
175 msvs—
Command A: 2WThinking Machines: Inkling (batch): 0W
🏆Thinking Machines: Inkling (batch)(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Command AvsThinking Machines: Inkling (batch)
Output price
$10/1Mvs$2.025/1M+$7.975/1M
Input price
$2.5/1Mvs$0.5/1M+$2/1M
Context window
256kvs524k+268k
Command A: 0WThinking Machines: Inkling (batch): 3W

Side-by-Side Benchmark Matrix

Preference Elo
Command A1,344
lmarena · Aug 17, 2026
Thinking Machines: Inkling (batch)—
LiveBench
Command A56.2%
livebench · Aug 17, 2026
Thinking Machines: Inkling (batch)—
SWE-bench
Command A42.6%
swebench · Aug 17, 2026
Thinking Machines: Inkling (batch)—
GPQA Diamond
Command A66%
seed-bootstrap · Aug 1, 2026
Thinking Machines: Inkling (batch)—
Time to first token
Command A175 ms
seed-bootstrap · Aug 1, 2026
Thinking Machines: Inkling (batch)—
Output speed
Command A118 tok/s
seed-bootstrap · Aug 1, 2026
Thinking Machines: Inkling (batch)—
Input price+$2/1M
Command A$2.5/1M
openrouter · Aug 17, 2026
Thinking Machines: Inkling (batch)$0.5/1M
openrouter · Aug 17, 2026
Output price+$7.975/1M
Command A$10/1M
openrouter · Aug 17, 2026
Thinking Machines: Inkling (batch)$2.025/1M
openrouter · Aug 17, 2026
Context window+268k
Command A256k
openrouter · Aug 17, 2026
Thinking Machines: Inkling (batch)524k
openrouter · Aug 17, 2026
BenchmarkCommand AThinking Machines: Inkling (batch)Advantage Delta
Preference Elo
1,344
lmarena · Aug 17, 2026
——
LiveBench
56.2%
livebench · Aug 17, 2026
——
SWE-bench
42.6%
swebench · Aug 17, 2026
——
GPQA Diamond
66%
seed-bootstrap · Aug 1, 2026
——
Time to first token
175 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
118 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$2.5/1M
openrouter · Aug 17, 2026
$0.5/1M
openrouter · Aug 17, 2026
+$2/1M
Output price
$10/1M
openrouter · Aug 17, 2026
$2.025/1M
openrouter · Aug 17, 2026
+$7.975/1M
Context window
256k
openrouter · Aug 17, 2026
524k
openrouter · Aug 17, 2026
+268k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 80% 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)
Command A$237.50 / mo
In: $87.5Out: $150
Thinking Machines: Inkling (batch)$47.88 / mo
In: $17.5Out: $30.38
Estimated Cost Delta

Thinking Machines: Inkling (batch) is estimated to save $189.63/month ($2,276/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 ($2.025/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGThinking Machines: Inkling (batch)

Larger window (524k).

Screenshots / visionThinking Machines: Inkling (batch)

Thinking Machines: Inkling (batch) 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 ($2.025/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGThinking Machines: Inkling (batch)Larger window (524k).
Screenshots / visionThinking Machines: Inkling (batch)Thinking Machines: Inkling (batch) is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchMar 13, 2025

Command A: Cohere’s enterprise RAG and tool-use row

Mar 2025. RAG and tools, not a frontier Elo play. Listed so “command a benchmark” has a sourced page.

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Cohere

Command A

Elo 1,344
SWE-bench42.6%
Speed (tok/s)118 tok/s
Input / 1M Tokens$2.5/1M
Output / 1M Tokens$10/1M
thinkingmachines

Thinking Machines: Inkling (batch)

Elo n/a
SWE-bench—
Speed (tok/s)524k
Input / 1M Tokens$0.5/1M
Output / 1M Tokens$2.025/1M

Frequently Asked Questions

Which is better overall, Command A or Thinking Machines: Inkling (batch)?
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, Command A or Thinking Machines: Inkling (batch)?
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 $2.025/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Command A or Thinking Machines: Inkling (batch)?
We do not have TTFT for both models.
Which has the larger context window?
Thinking Machines: Inkling (batch) accepts 524k tokens versus 256k.
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. Command A and Thinking Machines: Inkling (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Mar 13, 2025

    Command A: Cohere’s enterprise RAG and tool-use row

Similar Head-to-Head Comparisons

All Command A matchups →|All Thinking Machines: Inkling (batch) matchups →
Mistral Large 3 vs Command ADoubao Pro 1.5 vs Command AYi-Lightning vs Command AGemini 2.0 Flash Thinking vs Command AGemini 3 Flash vs Command AClaude Opus 4.5 vs Command A