Model vs model

GPT-5.5 vs Gemini 3.1 Pro

A debate-ready pair page: current winner, strongest alternative, decisive benchmarks, and the warning that should travel with the claim.

Use case · Coding copilot
Winner · GPT-5.5
Sources · All public sources

Winner

GPT-5.5

OpenAI

4benchmarks won

Professional reasoning
Multilingual

Versus · Coding copilot

GPT-5.5 leads this compare set for coding copilot.

GPT-5.54 of 6 wins

Visible tradeoffs

0 shared benchmarks are still too close to call, so the win stays conditional. This compare uses all public sources, with provider-official evidence labeled separately.

Close calls: 0
Sources: All public

Full compare workspace Disagreement page

67%win share

Challenger

Gemini 3.1 Pro

Google

2benchmarks won

Reasoning / math / science
Long context

The cases in full

GPT-5.5 case

Professional reasoning
Multilingual

Gemini 3.1 Pro case

Reasoning / math / science
Long context

What changes the outcome

GPT-5.5: 24 visible benchmark gaps still leave room for the result to move.
Gemini 3.1 Pro: 101 visible benchmark gaps still leave room for the result to move.

Why this result is surprising

The visible shared evidence is more decisive than usual for this compare set.
HiL-Bench is doing a lot of the visible work in the public narrative.

Why this is not a clean win

0 shared benchmarks are still too close to call, so the win stays conditional. This compare uses all public sources, with provider-official evidence labeled separately.
Gemini 3.1 Pro remains the strongest alternative once you change use case, mode, or missing-evidence assumptions.

Open full compare workspace Open evidence page Open disagreement page

Decisive benchmarks

bench

HiL-Bench

GPT-5.5 has the cleanest edge here.

bench

MMMU-Pro

GPT-5.5 has the cleanest edge here.

bench

Terminal-Bench 2.0

GPT-5.5 has the cleanest edge here.

6 of 114 benchmarks


HiL-Bench SL · % Code · Coding	29.1%100% exact aliasverified runtime Row details Raw value 29.1% Percentile 100% Last updated recent Eligibility headline eligible Identity provider alias (0.92) Source label GPT-5.5 Source row	20.3%40% exact directverified runtime Row details Raw value 20.3% Percentile 40% Last updated recent Eligibility headline eligible Identity exact (1.00) Source label gemini-3-1-pro Source row	60% spread
MMMU-Pro OFF · % Vision · Vision understanding	81.2%100% Officialmanual verifiedmanual verified Row details Raw value 81.2% Percentile 100% Last updated recent Eligibility headline eligible Identity exact (1.00) Source label gpt-5-5 Source row	80.5%40% Officialmanual verifiedmanual verified Row details Raw value 80.5% Percentile 40% Last updated recent Eligibility headline eligible Identity exact (1.00) Source label gemini-3-1-pro Source row	60% spread
Terminal-Bench 2.0 OFF · % Code · Coding	82.7%100% Officialmanual verifiedmanual verified Row details Raw value 82.7% Percentile 100% Last updated recent Eligibility headline eligible Identity exact (1.00) Source label gpt-5-5 Source row	68.5%50% Officialmanual verifiedmanual verified Row details Raw value 68.5% Percentile 50% Last updated recent Eligibility headline eligible Identity exact (1.00) Source label gemini-3-1-pro Source row	50% spread
BrowseComp OFF · % Search · Search / tool use	84.4%83.3% Officialmanual verifiedmanual verified Row details Raw value 84.4% Percentile 83.3% Last updated recent Eligibility headline eligible Identity exact (1.00) Source label gpt-5-5 Source row	85.9%100% Officialmanual verifiedmanual verified Row details Raw value 85.9% Percentile 100% Last updated recent Eligibility headline eligible Identity exact (1.00) Source label gemini-3-1-pro Source row	16.7% spread
Humanity's Last Exam OFF · % Text · Reasoning / math / science	41.4%71.4% Officialmanual verifiedmanual verified Row details Raw value 41.4% Percentile 71.4% Last updated recent Eligibility headline eligible Identity exact (1.00) Source label gpt-5-5 Source row	44.4%85.7% Officialmanual verifiedmanual verified Row details Raw value 44.4% Percentile 85.7% Last updated recent Eligibility headline eligible Identity exact (1.00) Source label gemini-3-1-pro Source row	14.3% spread
Search Arena AR · rating Search · Search / tool use	1,22596.7% exact aliasverified runtime Row details Raw value 1,225 Percentile 96.7% Last updated recent Eligibility headline eligible Identity provider alias (0.92) Source label gpt-5.5-search Source row	1,21086.7% exact aliasverified runtime Row details Raw value 1,210 Percentile 86.7% Last updated recent Eligibility headline eligible Identity provider alias (0.92) Source label gemini-3.1-pro-grounding Source row	10% spread

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Page 1 of 1Page size

HiL-Bench

SL · %

Code · Coding

29.1%100%

exact aliasverified runtime

Row details

Raw value: 29.1%
Percentile: 100%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.92)
Source label: GPT-5.5

Source row

20.3%40%

exact directverified runtime

Row details

Raw value: 20.3%
Percentile: 40%
Last updated: recent
Eligibility: headline eligible
Identity: exact (1.00)
Source label: gemini-3-1-pro

Source row

60% spread

MMMU-Pro

OFF · %

Vision · Vision understanding

81.2%100%

Officialmanual verifiedmanual verified

Row details

Raw value: 81.2%
Percentile: 100%
Last updated: recent
Eligibility: headline eligible
Identity: exact (1.00)
Source label: gpt-5-5

Source row

80.5%40%

Officialmanual verifiedmanual verified

Row details

Raw value: 80.5%
Percentile: 40%
Last updated: recent
Eligibility: headline eligible
Identity: exact (1.00)
Source label: gemini-3-1-pro

Source row

60% spread

Terminal-Bench 2.0

OFF · %

Code · Coding

82.7%100%

Officialmanual verifiedmanual verified

Row details

Raw value: 82.7%
Percentile: 100%
Last updated: recent
Eligibility: headline eligible
Identity: exact (1.00)
Source label: gpt-5-5

Source row

68.5%50%

Officialmanual verifiedmanual verified

Row details

Raw value: 68.5%
Percentile: 50%
Last updated: recent
Eligibility: headline eligible
Identity: exact (1.00)
Source label: gemini-3-1-pro

Source row

50% spread

BrowseComp

OFF · %

Search · Search / tool use

84.4%83.3%

Officialmanual verifiedmanual verified

Row details

Raw value: 84.4%
Percentile: 83.3%
Last updated: recent
Eligibility: headline eligible
Identity: exact (1.00)
Source label: gpt-5-5

Source row

85.9%100%

Officialmanual verifiedmanual verified

Row details

Raw value: 85.9%
Percentile: 100%
Last updated: recent
Eligibility: headline eligible
Identity: exact (1.00)
Source label: gemini-3-1-pro

Source row

16.7% spread

Humanity's Last Exam

OFF · %

Text · Reasoning / math / science

41.4%71.4%

Officialmanual verifiedmanual verified

Row details

Raw value: 41.4%
Percentile: 71.4%
Last updated: recent
Eligibility: headline eligible
Identity: exact (1.00)
Source label: gpt-5-5

Source row

44.4%85.7%

Officialmanual verifiedmanual verified

Row details

Raw value: 44.4%
Percentile: 85.7%
Last updated: recent
Eligibility: headline eligible
Identity: exact (1.00)
Source label: gemini-3-1-pro

Source row

14.3% spread

Search Arena

AR · rating

Search · Search / tool use

1,22596.7%

exact aliasverified runtime

Row details

Raw value: 1,225
Percentile: 96.7%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.92)
Source label: gpt-5.5-search

Source row

1,21086.7%

exact aliasverified runtime

Row details

Raw value: 1,210
Percentile: 86.7%
Last updated: recent
Eligibility: headline eligible
Identity: provider alias (0.92)
Source label: gemini-3.1-pro-grounding

Source row

10% spread

GPT-5.5 vs Gemini 3.1 Pro

GPT-5.5

GPT-5.5 leads this compare set for coding copilot.

Gemini 3.1 Pro

GPT-5.5 case

Gemini 3.1 Pro case

What changes the outcome

Why this result is surprising

Why this is not a clean win

Share the recommendation with the source data attached.

Open or copy the stable surfaces

Use the exact public framing

Pick the voice before you post

Compose a post that keeps the warning attached

Decisive benchmarks

Loading model comparison.

GPT-5.5 vs Gemini 3.1 Pro

GPT-5.5

GPT-5.5 leads this compare set for coding copilot.

Gemini 3.1 Pro

GPT-5.5 case

Gemini 3.1 Pro case

What changes the outcome

Why this result is surprising

Why this is not a clean win

Share the recommendation with the source data attached.

Open or copy the stable surfaces

Use the exact public framing

Pick the voice before you post

Compose a post that keeps the warning attached

Decisive benchmarks