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Model comparison

Command A+ vs MAI-Thinking-1

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
47.51/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: Command A+ #135 (Estimated); MAI-Thinking-1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Command A+ and MAI-Thinking-1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 21 results are unique to Command A+; 13 to MAI-Thinking-1.

Updated July 23, 2026
Shared results
0
Command A+ only
21
MAI-Thinking-1 only
13
Comparable categories
0 / 8

Benchmark data for Command A+ and MAI-Thinking-1 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

MAI-Thinking-1 has the larger context window at 256K, compared with 128K for Command A+.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricCommand A+MAI-Thinking-1Comparison
Input / output priceUSD per 1M tokensCommand A+$2.5 input / $10 outputMAI-Thinking-1Not availableA complete price comparison is not available.
Generation speedtokens per secondCommand A+272 tok/sMAI-Thinking-1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenCommand A+0.25 sMAI-Thinking-1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensCommand A+128KMAI-Thinking-1256KMAI-Thinking-1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkCommand A+MAI-Thinking-1Result
τ²-bench resultsSource 80.7%Not comparable
AA Agentic IndexSource 9.2%Not comparable
GDPval-AASource 10.7%Not comparable
GDPval-AASource 714Not comparable
terminalBenchHardSource 25%Not comparable
Terminal-Bench 2.0Source 46%Not comparable
Coding
BenchmarkCommand A+MAI-Thinking-1Result
AA Coding IndexSource 27.9%Not comparable
AA-SciCodeSource 37.8%Not comparable
SWE-bench VerifiedSource 73.5%Not comparable
SWE-bench ProSource 52.8%Not comparable
Terminal-Bench 2.0Source 46.0%Not comparable
Reasoning
BenchmarkCommand A+MAI-Thinking-1Result
AA-LCRSource 46.0%Not comparable
CritPtSource 0.3%Not comparable
Graphwalks BFS 128KSource 90%Not comparable
Knowledge
BenchmarkCommand A+MAI-Thinking-1Result
Artificial Analysis Intelligence IndexSource 22.5%Not comparable
AA-GPQA DiamondSource 76.1%Not comparable
AA-HLESource 11.4%Not comparable
AA-Omniscience IndexSource -4.0%Not comparable
AA-Omniscience AccuracySource 8.9%Not comparable
AA-Omniscience Hallucination RateSource 14.1%Not comparable
AA Openness IndexSource 38.9%Not comparable
GPQASource 84.2%Not comparable
GPQA-DSource 84.2%Not comparable
MMLU-ProSource 85%Not comparable
SimpleQASource 31%Not comparable
Math
BenchmarkCommand A+MAI-Thinking-1Result
AIME 2025Source 97%Not comparable
AIME26Source 94.5%Not comparable
HMMT Feb 2026Source 84.9%Not comparable
Multimodal
BenchmarkCommand A+MAI-Thinking-1Result
MMMUSource 75.1%Not comparable
MMMU-ProSource 63%Not comparable
CharXivSource 52.7%Not comparable
AA-MMMU-ProSource 63.2%Not comparable
Inst. Following
BenchmarkCommand A+MAI-Thinking-1Result
AA-IFBenchSource 73.9%Not comparable
IFBenchSource 85%Not comparable
Frequently Asked Questions (3)

Can I compare Command A+ and MAI-Thinking-1 on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Command A+ and MAI-Thinking-1 today?

Command A+: $2.50 input / $10.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 23, 2026

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