MidMarketBench

European B2B software investment benchmark

Investment judgement,
benchmarked.

Not “can the model answer?” but “can the model help decide?”

Methodology v0.3

Synthetic standings as an evaluation ledger.

12 models / 8 dimensions / closed-book

Grounding88
Output usefulness86
Risk discovery85
Closed-book
All dimensions
G 88CJ 84Sc 83Num 80Risk 85Q 84EU 80Use 86
Grounding86
Scepticism84
Output usefulness84
Closed-book
All dimensions
G 86CJ 82Sc 84Num 82Risk 82Q 82EU 78Use 84
Grounding84
Numerical sanity83
Question generation80
Closed-book
All dimensions
G 84CJ 78Sc 76Num 83Risk 78Q 80EU 74Use 80
Grounding85
Output usefulness82
Numerical sanity81
Closed-book
All dimensions
G 85CJ 76Sc 74Num 81Risk 77Q 79EU 72Use 82
Grounding83
Numerical sanity80
Output usefulness80
Closed-book
All dimensions
G 83CJ 75Sc 73Num 80Risk 75Q 77EU 70Use 80
Grounding81
Numerical sanity79
Output usefulness78
Closed-book
All dimensions
G 81CJ 73Sc 71Num 79Risk 73Q 76EU 70Use 78
Grounding80
Numerical sanity78
Output usefulness77
Closed-book
All dimensions
G 80CJ 72Sc 70Num 78Risk 71Q 75EU 69Use 77
Grounding79
Numerical sanity77
Output usefulness75
Closed-book
All dimensions
G 79CJ 71Sc 70Num 77Risk 72Q 74EU 66Use 75
Grounding78
Numerical sanity76
Output usefulness74
Closed-book
All dimensions
G 78CJ 70Sc 68Num 76Risk 70Q 72EU 64Use 74
Grounding76
Numerical sanity74
Output usefulness72
Closed-book
All dimensions
G 76CJ 67Sc 66Num 74Risk 68Q 70EU 60Use 72
Grounding75
Numerical sanity73
Output usefulness71
Closed-book
All dimensions
G 75CJ 65Sc 64Num 73Risk 66Q 69EU 58Use 71
Numerical sanity75
Grounding74
Output usefulness69
Closed-book
All dimensions
G 74CJ 63Sc 62Num 75Risk 64Q 67EU 56Use 69
DeltaModelMode
1newGPT-5.5OpenAI83.988.084.083.080.085.084.080.086.0Closed-book
2 1Claude Opus 4.8Anthropic82.886.082.084.082.082.082.078.084.0Closed-book
3 3Gemini 3.5 FlashGoogle79.584.078.076.083.078.080.074.080.0Closed-book
4 1GPT-5.4OpenAI78.485.076.074.081.077.079.072.082.0Closed-book
5Claude Opus 4.7Anthropic76.983.075.073.080.075.077.070.080.0Closed-book
6 2Gemini 3.1 ProGoogle75.281.073.071.079.073.076.070.078.0Closed-book
7 1Grok 4.20xAI74.180.072.070.078.071.075.069.077.0Closed-book
8 2GLM-5.2Z.ai73.479.071.070.077.072.074.066.075.0Closed-book
9Qwen3.7 MaxAlibaba71.978.070.068.076.070.072.064.074.0Closed-book
10 1Seed 2.0 ProByteDance69.676.067.066.074.068.070.060.072.0Closed-book
11 3DeepSeek V4 ProDeepSeek68.175.065.064.073.066.069.058.071.0Closed-book
12newGPT-5.2 ProOpenAI66.874.063.062.075.064.067.056.069.0Closed-book

Scoring shape

Judgement carries the most weight.

A grounded but commercially naive model should not lead an investment benchmark. Overall is derived from eight dimension scores, never stored directly.

Grounding

15%

Claims are supported by packet evidence or clearly marked as inference.

Commercial judgement

20%

Identifies what matters economically and strategically to the deal.

Scepticism

15%

Challenges weak claims, inflated metrics and convenient narratives.

Numerical sanity

15%

Interprets and reconciles financial and operating data correctly.

Risk discovery

15%

Finds hidden and second-order risks across the packet.

Question generation

10%

Asks the next questions most likely to change the recommendation.

European context

5%

Accounts for fragmented markets, regulation, language and procurement.

Output usefulness

5%

Produces material a deal team can reuse with limited editing.

Interpretation

Workflow usefulness, not general intelligence.

The current board is a product demonstration built from synthetic scores. The methodology, case structure and data contracts are the testable artefacts.