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Model comparison

1-bit Bonsai 4B 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.
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No comparison
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0 category wins0 category wins

Evidence parity. 1-bit Bonsai 4B and MAI-Thinking-1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to 1-bit Bonsai 4B; 13 to MAI-Thinking-1.

Updated July 23, 2026
Shared results
0
1-bit Bonsai 4B only
0
MAI-Thinking-1 only
13
Comparable categories
0 / 8

Benchmark data for 1-bit Bonsai 4B 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 does not have sourced benchmark coverage for 1-bit Bonsai 4B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

MAI-Thinking-1 has the larger context window at 256K, compared with 32K for 1-bit Bonsai 4B.

Operational comparison

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

Metric1-bit Bonsai 4BMAI-Thinking-1Comparison
Input / output priceUSD per 1M tokens1-bit Bonsai 4B$0 input / $0 outputMAI-Thinking-1Not availableA complete price comparison is not available.
Generation speedtokens per second1-bit Bonsai 4BNot availableMAI-Thinking-1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first token1-bit Bonsai 4BNot availableMAI-Thinking-1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokens1-bit Bonsai 4B32KMAI-Thinking-1256KMAI-Thinking-1 lists the larger context window.

Benchmark Deep Dive

Agentic
Benchmark1-bit Bonsai 4BMAI-Thinking-1Result
Terminal-Bench 2.0Source 46%Not comparable
Coding
Benchmark1-bit Bonsai 4BMAI-Thinking-1Result
SWE-bench VerifiedSource 73.5%Not comparable
SWE-bench ProSource 52.8%Not comparable
Terminal-Bench 2.0Source 46.0%Not comparable
Reasoning
Benchmark1-bit Bonsai 4BMAI-Thinking-1Result
Graphwalks BFS 128KSource 90%Not comparable
Knowledge
Benchmark1-bit Bonsai 4BMAI-Thinking-1Result
GPQASource 84.2%Not comparable
GPQA-DSource 84.2%Not comparable
MMLU-ProSource 85%Not comparable
SimpleQASource 31%Not comparable
Math
Benchmark1-bit Bonsai 4BMAI-Thinking-1Result
AIME 2025Source 97%Not comparable
AIME26Source 94.5%Not comparable
HMMT Feb 2026Source 84.9%Not comparable
Inst. Following
Benchmark1-bit Bonsai 4BMAI-Thinking-1Result
IFBenchSource 85%Not comparable
Frequently Asked Questions (3)

Can I compare 1-bit Bonsai 4B 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 1-bit Bonsai 4B and MAI-Thinking-1 today?

1-bit Bonsai 4B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 23, 2026

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