Model A

OpenAI

56.1/100

Estimated · Public rank #85

90% interval 44.6–67.6

GPT-5.4 mini vs Qwen3.5-35B-A3B

Updated August 13, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Model B

Qwen3.5-35B-A3B

Alibaba

56.0/100

Supported · Public rank #86

90% interval 44.6–67.4

Decision reading

GPT-5.4 mini has the higher public score estimate, 56.08 versus 55.97, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

3 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

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
GPT-5.4 mini
GPT-5.4 mini 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
No shared weighted benchmark basis supports a winner.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are 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

3 Shared

13 Qwen3.5-35B-A3B only

Shared results: 3
GPT-5.4 mini only: 12
Qwen3.5-35B-A3B only: 13
Like-for-like categories: 0 / 8

2 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Agentic

Directional only

GPT-5.4 mini: 65.7
Qwen3.5-35B-A3B: 51.0
Weighted basis: 2 vs 3 rows
Reading: Directional only

Knowledge

Directional only

GPT-5.4 mini: 47.8
Qwen3.5-35B-A3B: 81.6
Weighted basis: 2 vs 3 rows
Reading: Directional only

Coding

Not comparable

GPT-5.4 mini: Not measured
Qwen3.5-35B-A3B: 60.6
Weighted basis: 0 vs 2 rows
Reading: Not comparable

Reasoning

Not comparable

GPT-5.4 mini: Not measured
Qwen3.5-35B-A3B: 59.0
Weighted basis: 0 vs 1 rows
Reading: Not comparable

Math

Not comparable

GPT-5.4 mini: 21.7
Qwen3.5-35B-A3B: Not measured
Weighted basis: 2 vs 0 rows
Reading: Not comparable

Multilingual

Not comparable

GPT-5.4 mini: Not measured
Qwen3.5-35B-A3B: 81.0
Weighted basis: 0 vs 1 rows
Reading: Not comparable

Multimodal

Not comparable

GPT-5.4 mini: 76.6
Qwen3.5-35B-A3B: Not measured
Weighted basis: 1 vs 0 rows
Reading: Not comparable

Instruction following

Not comparable

GPT-5.4 mini: Not measured
Qwen3.5-35B-A3B: 91.9
Weighted basis: 0 vs 1 rows
Reading: Not comparable

Category averages with the server-provided evidence basis for GPT-5.4 mini and Qwen3.5-35B-A3B
Category	GPT-5.4 mini	Qwen3.5-35B-A3B	Weighted basis	Reading
Agentic	65.7	51.0	Directional only2 vs 3 rows	Directional only
Knowledge	47.8	81.6	Directional only2 vs 3 rows	Directional only
Coding	Not measured	60.6	Not comparable0 vs 2 rows	Not comparable
Reasoning	Not measured	59.0	Not comparable0 vs 1 rows	Not comparable
Math	21.7	Not measured	Not comparable2 vs 0 rows	Not comparable
Multilingual	Not measured	81.0	Not comparable0 vs 1 rows	Not comparable
Multimodal	76.6	Not measured	Not comparable1 vs 0 rows	Not comparable
Instruction following	Not measured	91.9	Not comparable0 vs 1 rows	Not comparable

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%Qwen3.5-35B-A3B: 40.5%Normalized gap 19.5GPT-5.4 mini source Qwen3.5-35B-A3B source
OSWorld-Verified
Agentic
GPT-5.4 mini: 72.1%Qwen3.5-35B-A3B: 54.5%Normalized gap 17.6GPT-5.4 mini source Qwen3.5-35B-A3B source
GPQA
Knowledge
GPT-5.4 mini: 88%Qwen3.5-35B-A3B: 84.2%Normalized gap 3.8GPT-5.4 mini source Qwen3.5-35B-A3B 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
Qwen3.5-35B-A3B: Self-hosted; infrastructure cost varies; Fits in one request

Qwen3.5-35B-A3B 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
Qwen3.5-35B-A3B: Self-hosted; infrastructure cost varies; Fits in one request

Qwen3.5-35B-A3B 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
Qwen3.5-35B-A3B: Self-hosted; infrastructure cost varies; Fits in one request; Cached-input rate unavailable

Qwen3.5-35B-A3B 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 miniQwen3.5-35B-A3B

Context window

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

GPT-5.4 mini

400K

OpenAI GPT-5.4 mini model documentation

Qwen3.5-35B-A3B

262K

API model ID

GPT-5.4 mini

gpt-5.4-mini

OpenAI GPT-5.4 mini model documentation

Qwen3.5-35B-A3B

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

Qwen3.5-35B-A3B

No comparable hosted API rate

Documented inputs

GPT-5.4 mini

text, image

OpenAI model catalog

Qwen3.5-35B-A3B

Not sourced

Documented outputs

GPT-5.4 mini

text

OpenAI model catalog

Qwen3.5-35B-A3B

Not sourced

Provider availability

GPT-5.4 mini

Generally Available · OpenAI Responses API

OpenAI model catalog

Qwen3.5-35B-A3B

Not sourced

Reasoning profile

GPT-5.4 mini

Reasoning

Qwen3.5-35B-A3B

Reasoning

Weight access

GPT-5.4 mini

Proprietary

Qwen3.5-35B-A3B

Open Weight

License

GPT-5.4 mini

Proprietary

Qwen3.5-35B-A3B

Open Weight

Release date

GPT-5.4 mini

2026-03-17

Qwen3.5-35B-A3B

2026-03-04

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, 56.08 versus 55.97, but the 90% score intervals overlap.
Workload cost: A complete comparable API-rate estimate is not available for both models.
Context tradeoff: GPT-5.4 mini has the larger documented window (400K).

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 evidence28 rows

Agentic

Terminal-Bench 2.0
GPT-5.4 mini60%
Source
Qwen3.5-35B-A3B40.5%
Source
GPT-5.4 mini leads this result
OSWorld-Verified
GPT-5.4 mini72.1%
Source
Qwen3.5-35B-A3B54.5%
Source
GPT-5.4 mini leads this result
MCP Atlas
GPT-5.4 mini57.7%
Source
Qwen3.5-35B-A3B—
Not directly comparable
Toolathlon
GPT-5.4 mini42.9%
Source
Qwen3.5-35B-A3B—
Not directly comparable
τ²-bench results
GPT-5.4 mini93.4%
Source
Qwen3.5-35B-A3B—
Not directly comparable
BrowseComp
GPT-5.4 mini—
Qwen3.5-35B-A3B61%
Source
Not directly comparable
Gert Labs
GPT-5.4 mini—
Qwen3.5-35B-A3B28.96%
Source
Not directly comparable

Coding

Vibe Code Bench
GPT-5.4 mini47.97%
Source
Qwen3.5-35B-A3B—
Not directly comparable
FrontierCode 1.1 Main
GPT-5.4 mini27.0%
Source
Qwen3.5-35B-A3B—
Not directly comparable
EEBench
GPT-5.4 mini18.3%
Source
Qwen3.5-35B-A3B—
Not directly comparable
SWE-bench Verified
GPT-5.4 mini—
Qwen3.5-35B-A3B69.2%
Source
Not directly comparable
SWE-Rebench
GPT-5.4 mini—
Qwen3.5-35B-A3B53.7%
Source
Not directly comparable

Reasoning

LongBench v2
GPT-5.4 mini—
Qwen3.5-35B-A3B59%
Source
Not directly comparable

Knowledge

GPQA
GPT-5.4 mini88%
Source
Qwen3.5-35B-A3B84.2%
Source
GPT-5.4 mini leads this result
HLE
GPT-5.4 mini41.5%
Source
Qwen3.5-35B-A3B—
Not directly comparable
HLE w/o tools
GPT-5.4 mini28.2%
Source
Qwen3.5-35B-A3B—
Not directly comparable
MMLU-Pro
GPT-5.4 mini—
Qwen3.5-35B-A3B85.3%
Source
Not directly comparable
SuperGPQA
GPT-5.4 mini—
Qwen3.5-35B-A3B63.4%
Source
Not directly comparable

Math

FrontierMath v2 (Tiers 1-3)
GPT-5.4 mini28.280%
Source
Qwen3.5-35B-A3B—
Not directly comparable
FrontierMath v2 (Tier 4)
GPT-5.4 mini2.080%
Source
Qwen3.5-35B-A3B—
Not directly comparable

Multilingual

MMLU-ProX
GPT-5.4 mini—
Qwen3.5-35B-A3B81%
Source
Not directly comparable

Multimodal

MMMU-Pro
GPT-5.4 mini76.6%
Source
Qwen3.5-35B-A3B—
Not directly comparable
MMMU-Pro w/ Python
GPT-5.4 mini78%
Source
Qwen3.5-35B-A3B—
Not directly comparable
MMMU
GPT-5.4 mini—
Qwen3.5-35B-A3B81.4%
Source
Not directly comparable
MMVU
GPT-5.4 mini—
Qwen3.5-35B-A3B72.3%
Source
Not directly comparable
MathVision
GPT-5.4 mini—
Qwen3.5-35B-A3B83.9%
Source
Not directly comparable
V*
GPT-5.4 mini—
Qwen3.5-35B-A3B92.7%
Source
Not directly comparable

Instruction following

IFEval
GPT-5.4 mini—
Qwen3.5-35B-A3B91.9%
Source
Not directly comparable

Frequently asked questions

Which is better, GPT-5.4 mini or Qwen3.5-35B-A3B?

GPT-5.4 mini has the higher public score estimate, 56.08 versus 55.97, 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 Qwen3.5-35B-A3B?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

Which is better for agentic tasks, GPT-5.4 mini or Qwen3.5-35B-A3B?

The current agentic tasks averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.

Which costs less, GPT-5.4 mini or Qwen3.5-35B-A3B?

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 Qwen3.5-35B-A3B?

GPT-5.4 mini has the larger documented context window: 400K, compared with 262K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 13, 2026

Watch GPT-5.4 mini vs Qwen3.5-35B-A3B

One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.

Read a sample issue

Join 2,000+ readers.

GPT-5.4 mini vs Qwen3.5-35B-A3B

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

Knowledge

Coding

Reasoning

Math

Multilingual

Multimodal

Instruction following

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 Qwen3.5-35B-A3B?

Which is better for coding, GPT-5.4 mini or Qwen3.5-35B-A3B?

Which is better for agentic tasks, GPT-5.4 mini or Qwen3.5-35B-A3B?

Which costs less, GPT-5.4 mini or Qwen3.5-35B-A3B?

Which has the larger context window, GPT-5.4 mini or Qwen3.5-35B-A3B?

Related comparisons

Watch GPT-5.4 mini vs Qwen3.5-35B-A3B