Model A

OpenAI

62.63/100

Supported · Public rank #59

90% interval 54.6–70.7

GPT-5.4 mini vs Qwen3.7 Plus

Updated September 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Model B

Qwen3.7 Plus

Alibaba

62.29/100

Supported · Public rank #60

90% interval 52.4–72.2

Decision reading

GPT-5.4 mini has the higher public score estimate, 62.63 versus 62.29, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

7 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

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Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

Long documents
Prompts that approach the documented context limit
Qwen3.7 Plus
Qwen3.7 Plus has the larger documented context window.
Confidence: documented

Show secondary and unsupported calls

Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Qwen3.7 Plus is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
GPT-5.4 mini is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

12 GPT-5.4 mini only

7 Shared

45 Qwen3.7 Plus only

Shared results: 7
GPT-5.4 mini only: 12
Qwen3.7 Plus only: 45
Like-for-like categories: 0 / 8

5 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Directional only

GPT-5.4 mini: 42.4; Estimated · #113/151
Qwen3.7 Plus: 37.7; Supported · #126/151
Basis: BenchAlign lane · 6 vs 11 public rows
Reading: Directional only

Coding

Directional only

GPT-5.4 mini: 42.9; Supported · #125/183
Qwen3.7 Plus: 53.1; Estimated · #51/183
Basis: BenchAlign lane · 4 vs 7 public rows
Reading: Directional only

Knowledge

Directional only

GPT-5.4 mini: 56.3; Supported · #53/181
Qwen3.7 Plus: 56.8; Estimated · #50/181
Basis: BenchAlign lane · 5 vs 7 public rows
Reading: Directional only

Multimodal

Directional only

GPT-5.4 mini: 57.2; #31/48
Qwen3.7 Plus: 72.5; #18/48
Basis: Provisional lane · 1 vs 2 weighted rows
Reading: Directional only

Instruction following

Directional only

GPT-5.4 mini: 89.6; #23/120
Qwen3.7 Plus: 91.1; #17/120
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Directional only

Reasoning

Not comparable

GPT-5.4 mini: 73.5; Unranked · 2 rankable rows
Qwen3.7 Plus: 73.7; Unranked · 3 rankable rows
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Math

Not comparable

GPT-5.4 mini: 44.5; Unranked · 2 rankable rows
Qwen3.7 Plus: 78.3; Unranked · 3 rankable rows
Basis: Provisional lane · 2 vs 1 weighted rows
Reading: Not comparable

Multilingual

Not comparable

GPT-5.4 mini: Not ranked
Qwen3.7 Plus: 78.9; #3/12
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Category scores with the server-provided evidence basis for GPT-5.4 mini and Qwen3.7 Plus
Category	GPT-5.4 mini	Qwen3.7 Plus	Basis	Reading
Agentic	42.4Estimated · #113/151	37.7Supported · #126/151	Directional onlyBenchAlign lane · 6 vs 11 public rows	Directional only
Coding	42.9Supported · #125/183	53.1Estimated · #51/183	Directional onlyBenchAlign lane · 4 vs 7 public rows	Directional only
Knowledge	56.3Supported · #53/181	56.8Estimated · #50/181	Directional onlyBenchAlign lane · 5 vs 7 public rows	Directional only
Multimodal	57.2#31/48	72.5#18/48	Directional onlyProvisional lane · 1 vs 2 weighted rows	Directional only
Instruction following	89.6#23/120	91.1#17/120	Directional onlyProvisional lane · 0 vs 1 weighted rows	Directional only
Reasoning	73.5Unranked · 2 rankable rows	73.7Unranked · 3 rankable rows	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable
Math	44.5Unranked · 2 rankable rows	78.3Unranked · 3 rankable rows	Not comparableProvisional lane · 2 vs 1 weighted rows	Not comparable
Multilingual	Not ranked	78.9#3/12	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

Terminal-Bench 2.0
Agentic
GPT-5.4 mini: 60%Qwen3.7 Plus: 70.3%Normalized gap 10.3GPT-5.4 mini source Qwen3.7 Plus source
HLE
Knowledge
GPT-5.4 mini: 41.5%Qwen3.7 Plus: 34.7%Normalized gap 6.8GPT-5.4 mini source Qwen3.7 Plus source
MMMU-Pro
Multimodal
GPT-5.4 mini: 76.6%Qwen3.7 Plus: 79%Normalized gap 2.4GPT-5.4 mini source Qwen3.7 Plus source
GPQA
Knowledge
GPT-5.4 mini: 88%Qwen3.7 Plus: 90.3%Normalized gap 2.3GPT-5.4 mini source Qwen3.7 Plus source
OSWorld-Verified
Agentic
GPT-5.4 mini: 72.1%Qwen3.7 Plus: 73.3%Normalized gap 1.2GPT-5.4 mini source Qwen3.7 Plus source

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

GPT-5.4 mini: $0.003; Fits in one request
Qwen3.7 Plus: API rate not published; Fits in one request

Qwen3.7 Plus has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

GPT-5.4 mini: $0.051; Fits in one request
Qwen3.7 Plus: API rate not published; Fits in one request

Qwen3.7 Plus has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

GPT-5.4 mini: $0.075; Fits in one request
Qwen3.7 Plus: API rate not published; Fits in one request; Cached-input rate unavailable

Qwen3.7 Plus has no comparable published API token rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

SpecificationGPT-5.4 miniQwen3.7 Plus

Context window

Maximum documented context; output-token limits may be lower.

GPT-5.4 mini

400K

OpenAI GPT-5.4 mini model documentation

Qwen3.7 Plus

API model ID

GPT-5.4 mini

gpt-5.4-mini

OpenAI GPT-5.4 mini model documentation

Qwen3.7 Plus

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

GPT-5.4 mini

$0.075 per 1M cached input tokens

OpenAI pricing

Qwen3.7 Plus

No comparable hosted API rate

Documented inputs

GPT-5.4 mini

text, image

OpenAI model catalog

Qwen3.7 Plus

Not sourced

Documented outputs

GPT-5.4 mini

text

OpenAI model catalog

Qwen3.7 Plus

Not sourced

Provider availability

GPT-5.4 mini

Generally Available · OpenAI Responses API

OpenAI model catalog

Qwen3.7 Plus

Not sourced

Reasoning profile

GPT-5.4 mini

Reasoning

Qwen3.7 Plus

Reasoning

Weight access

GPT-5.4 mini

Proprietary

Qwen3.7 Plus

Proprietary

License

GPT-5.4 mini

Proprietary

Qwen3.7 Plus

Proprietary

Release date

GPT-5.4 mini

2026-03-17

Qwen3.7 Plus

2026-06-03

If you already use one of these models

Deployment change: The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal: GPT-5.4 mini has the higher public score estimate, 62.63 versus 62.29, but the 90% score intervals overlap.
Workload cost: A complete comparable API-rate estimate is not available for both models.
Context tradeoff: Qwen3.7 Plus has the larger documented window (1M).

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence64 rows

Agentic

Terminal-Bench 2.0
GPT-5.4 mini60%
Source
Qwen3.7 Plus70.3%
Source
Qwen3.7 Plus leads this result
OSWorld-Verified
GPT-5.4 mini72.1%
Source
Qwen3.7 Plus73.3%
Source
Qwen3.7 Plus leads this result
MCP Atlas
GPT-5.4 mini57.7%
Source
Qwen3.7 Plus73.2%
Source
Qwen3.7 Plus leads this result
Toolathlon
GPT-5.4 mini42.9%
Source
Qwen3.7 Plus—
Not directly comparable
τ²-bench results
GPT-5.4 mini93.4%
Source
Qwen3.7 Plus—
Not directly comparable
Terminal-Bench 2.1 (Vals)
GPT-5.4 mini54.7%
Source
Qwen3.7 Plus52.8%
Source
GPT-5.4 mini leads this result
QwenClawBench
GPT-5.4 mini—
Qwen3.7 Plus61.8%
Source
Not directly comparable
Claw-Eval
GPT-5.4 mini—
Qwen3.7 Plus62.7%
Source
Not directly comparable
BFCL v4
GPT-5.4 mini—
Qwen3.7 Plus72.9%
Source
Not directly comparable
VITA-Bench
GPT-5.4 mini—
Qwen3.7 Plus45.6%
Source
Not directly comparable
DeepPlanning
GPT-5.4 mini—
Qwen3.7 Plus62.3%
Source
Not directly comparable
AndroidWorld
GPT-5.4 mini—
Qwen3.7 Plus81.0%
Source
Not directly comparable
OSWorld 2.0
GPT-5.4 mini—
Qwen3.7 Plus2.8%
Source
Not directly comparable

Coding

Vibe Code Bench
GPT-5.4 mini47.97%
Source
Qwen3.7 Plus—
Not directly comparable
FrontierCode 1.1 Main
GPT-5.4 mini27.0%
Source
Qwen3.7 Plus—
Not directly comparable
LiveCodeBench (Vals)
GPT-5.4 mini81.5%
Source
Qwen3.7 Plus—
Not directly comparable
SWE-bench (Vals)
GPT-5.4 mini73.0%
Source
Qwen3.7 Plus—
Not directly comparable
Terminal-Bench 2.0
GPT-5.4 mini—
Qwen3.7 Plus70.3%
Source
Not directly comparable
SWE-bench Verified
GPT-5.4 mini—
Qwen3.7 Plus77.7%
Source
Not directly comparable
SWE-bench Pro
GPT-5.4 mini—
Qwen3.7 Plus57.6%
Source
Not directly comparable
SWE Multilingual
GPT-5.4 mini—
Qwen3.7 Plus75.8%
Source
Not directly comparable
NL2Repo
GPT-5.4 mini—
Qwen3.7 Plus41.1%
Source
Not directly comparable
SciCode
GPT-5.4 mini—
Qwen3.7 Plus51.3%
Source
Not directly comparable
LiveCodeBench
GPT-5.4 mini—
Qwen3.7 Plus89.6%
Source
Not directly comparable

Reasoning

CritPt
GPT-5.4 mini—
Qwen3.7 Plus9.1%
Source
Not directly comparable
MRCRv2
GPT-5.4 mini—
Qwen3.7 Plus91.7%
Source
Not directly comparable

Knowledge

GPQA
GPT-5.4 mini88%
Source
Qwen3.7 Plus90.3%
Source
Qwen3.7 Plus leads this result
HLE
GPT-5.4 mini41.5%
Source
Qwen3.7 Plus34.7%
Source
GPT-5.4 mini leads this result
HLE w/o tools
GPT-5.4 mini28.2%
Source
Qwen3.7 Plus—
Not directly comparable
GPQA Diamond (Vals)
GPT-5.4 mini83.1%
Source
Qwen3.7 Plus—
Not directly comparable
MMLU-Pro (Vals)
GPT-5.4 mini84.6%
Source
Qwen3.7 Plus—
Not directly comparable
GPQA-D
GPT-5.4 mini—
Qwen3.7 Plus90.3%
Source
Not directly comparable
MMLU-Pro
GPT-5.4 mini—
Qwen3.7 Plus88.5%
Source
Not directly comparable
MMLU-Redux
GPT-5.4 mini—
Qwen3.7 Plus94.5%
Source
Not directly comparable
SuperGPQA
GPT-5.4 mini—
Qwen3.7 Plus71.4%
Source
Not directly comparable
MMMLU
GPT-5.4 mini—
Qwen3.7 Plus89.0%
Source
Not directly comparable

Math

FrontierMath v2 (Tiers 1-3)
GPT-5.4 mini28.280%
Source
Qwen3.7 Plus—
Not directly comparable
FrontierMath v2 (Tier 4)
GPT-5.4 mini2.080%
Source
Qwen3.7 Plus—
Not directly comparable
HMMT Feb 2026
GPT-5.4 mini—
Qwen3.7 Plus92.9%
Source
Not directly comparable
IMOAnswerBench
GPT-5.4 mini—
Qwen3.7 Plus86.0%
Source
Not directly comparable
Apex
GPT-5.4 mini—
Qwen3.7 Plus22.7%
Source
Not directly comparable

Multilingual

MMLU-ProX
GPT-5.4 mini—
Qwen3.7 Plus85.4%
Source
Not directly comparable
NOVA-63
GPT-5.4 mini—
Qwen3.7 Plus58.8%
Source
Not directly comparable
INCLUDE
GPT-5.4 mini—
Qwen3.7 Plus83.0%
Source
Not directly comparable
MAXIFE
GPT-5.4 mini—
Qwen3.7 Plus88.8%
Source
Not directly comparable
PolyMath
GPT-5.4 mini—
Qwen3.7 Plus84.0%
Source
Not directly comparable

Multimodal

MMMU-Pro
GPT-5.4 mini76.6%
Source
Qwen3.7 Plus79%
Source
Qwen3.7 Plus leads this result
MMMU-Pro w/ Python
GPT-5.4 mini78%
Source
Qwen3.7 Plus—
Not directly comparable
MathVision
GPT-5.4 mini—
Qwen3.7 Plus90.3%
Source
Not directly comparable
CharXiv
GPT-5.4 mini—
Qwen3.7 Plus85.9%
Source
Not directly comparable
ERQA
GPT-5.4 mini—
Qwen3.7 Plus69.8%
Source
Not directly comparable
MedXpertQA (MM)
GPT-5.4 mini—
Qwen3.7 Plus71.0%
Source
Not directly comparable
ScreenSpot Pro
GPT-5.4 mini—
Qwen3.7 Plus79.0%
Source
Not directly comparable
SimpleVQA
GPT-5.4 mini—
Qwen3.7 Plus81.7%
Source
Not directly comparable
MMSearch-Plus
GPT-5.4 mini—
Qwen3.7 Plus41.4%
Source
Not directly comparable
RealWorldQA
GPT-5.4 mini—
Qwen3.7 Plus86.9%
Source
Not directly comparable
OmniDocBench 1.5
GPT-5.4 mini—
Qwen3.7 Plus91.4%
Source
Not directly comparable
OCRBench V2
GPT-5.4 mini—
Qwen3.7 Plus70.7%
Source
Not directly comparable
ODINW13
GPT-5.4 mini—
Qwen3.7 Plus51.1%
Source
Not directly comparable
Video-MME (with subtitle)
GPT-5.4 mini—
Qwen3.7 Plus88.0%
Source
Not directly comparable
VideoMMMU
GPT-5.4 mini—
Qwen3.7 Plus85.4%
Source
Not directly comparable
MLVU (M-Avg)
GPT-5.4 mini—
Qwen3.7 Plus87.4%
Source
Not directly comparable

Instruction following

IFEval
GPT-5.4 mini—
Qwen3.7 Plus94.6%
Source
Not directly comparable
IFBench
GPT-5.4 mini—
Qwen3.7 Plus79.1%
Source
Not directly comparable

Frequently asked questions

Which is better, GPT-5.4 mini or Qwen3.7 Plus?

GPT-5.4 mini has the higher public score estimate, 62.63 versus 62.29, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, GPT-5.4 mini or Qwen3.7 Plus?

Qwen3.7 Plus scores higher for coding on the public lane, 53.1 to 42.9. Qwen3.7 Plus is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, GPT-5.4 mini or Qwen3.7 Plus?

GPT-5.4 mini scores higher for agentic tasks on the public lane, 42.4 to 37.7. GPT-5.4 mini is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which costs less, GPT-5.4 mini or Qwen3.7 Plus?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, GPT-5.4 mini or Qwen3.7 Plus?

Qwen3.7 Plus has the larger documented context window: 1M, compared with 400K.

Related comparisons

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Last updated September 4, 2026

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GPT-5.4 mini vs Qwen3.7 Plus

Which one for your work

Long documents

Coding work

Agentic work

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

What is actually comparable

Category results, on a stated basis

Agentic

Coding

Knowledge

Multimodal

Instruction following

Reasoning

Math

Multilingual

Shape of the matched evidence

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

Benchmark evidence

Agentic

Coding

Reasoning

Knowledge

Math

Multilingual

Multimodal

Instruction following

Frequently asked questions

Which is better, GPT-5.4 mini or Qwen3.7 Plus?

Which is better for coding, GPT-5.4 mini or Qwen3.7 Plus?

Which is better for agentic tasks, GPT-5.4 mini or Qwen3.7 Plus?

Which costs less, GPT-5.4 mini or Qwen3.7 Plus?

Which has the larger context window, GPT-5.4 mini or Qwen3.7 Plus?

Related comparisons

Watch GPT-5.4 mini vs Qwen3.7 Plus