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Model comparison

MAI-Thinking-1 vs Mistral 7B v0.3

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

Public leaderboard positions: MAI-Thinking-1 unranked (Not scored); Mistral 7B v0.3 #173 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. MAI-Thinking-1 and Mistral 7B v0.3 share 0 comparable benchmark results. 0 of 8 categories are comparable. 13 results are unique to MAI-Thinking-1; 0 to Mistral 7B v0.3.

Updated July 23, 2026
Shared results
0
MAI-Thinking-1 only
13
Mistral 7B v0.3 only
0
Comparable categories
0 / 8

Benchmark data for MAI-Thinking-1 and Mistral 7B v0.3 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 Mistral 7B v0.3 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 Mistral 7B v0.3.

Operational comparison

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

MetricMAI-Thinking-1Mistral 7B v0.3Comparison
Input / output priceUSD per 1M tokensMAI-Thinking-1Not availableMistral 7B v0.3$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondMAI-Thinking-1Not availableMistral 7B v0.3Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenMAI-Thinking-1Not availableMistral 7B v0.3Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensMAI-Thinking-1256KMistral 7B v0.332KMAI-Thinking-1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkMAI-Thinking-1Mistral 7B v0.3Result
Terminal-Bench 2.0Source 46%Not comparable
Coding
BenchmarkMAI-Thinking-1Mistral 7B v0.3Result
SWE-bench VerifiedSource 73.5%Not comparable
SWE-bench ProSource 52.8%Not comparable
Terminal-Bench 2.0Source 46.0%Not comparable
Reasoning
BenchmarkMAI-Thinking-1Mistral 7B v0.3Result
Graphwalks BFS 128KSource 90%Not comparable
Knowledge
BenchmarkMAI-Thinking-1Mistral 7B v0.3Result
GPQASource 84.2%Not comparable
GPQA-DSource 84.2%Not comparable
MMLU-ProSource 85%Not comparable
SimpleQASource 31%Not comparable
Math
BenchmarkMAI-Thinking-1Mistral 7B v0.3Result
AIME 2025Source 97%Not comparable
AIME26Source 94.5%Not comparable
HMMT Feb 2026Source 84.9%Not comparable
Inst. Following
BenchmarkMAI-Thinking-1Mistral 7B v0.3Result
IFBenchSource 85%Not comparable
Frequently Asked Questions (3)

Can I compare MAI-Thinking-1 and Mistral 7B v0.3 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 MAI-Thinking-1 and Mistral 7B v0.3 today?

Mistral 7B v0.3: $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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