Enter opens the highlighted result. Esc closes.

GPT-4o vs Qwen3.5 Plus 2026-04-20

Qwen3.5 Plus 2026-04-20 costs 5.6x less per output token than GPT-4o ($1.80 vs $10.00 per million). Updated October 22, 2026; 2 benchmarks have a result for both.

Replace GPT-4o Replace Qwen3.5 Plus 2026-04-20
GPT-4oOpenAI
Coding
No data
Overall
No data
Output $/M
$10.00
0
Qwen3.5 Plus 2026-04-20Qwen
Coding
39.5
Overall
No data
Output $/M
$1.80
2
vs boards won of 2 shared

GPT-4o or Qwen3.5 Plus 2026-04-20: which to pick

Only Qwen3.5 Plus 2026-04-20 has a coding score, 39.5 on the Vibe Coding Index; GPT-4o has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AGPT-4oOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.5 Plus 2026-04-20Qwen39.5/1002 independent benchmarks$1.35 per solved task
Shared results
2
GPT-4o only
25
Qwen3.5 Plus 2026-04-20 only
23
Like-for-like categories
1 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GPT-4o not benchmarked, Qwen3.5 Plus 2026-04-20 39.5 from 2 benchmarks.
Widest category
General, 17.9 points apart on average over 2 shared benchmarks.
Widest single gap
LMCA: GPT-4o 16.6% against Qwen3.5 Plus 2026-04-20 36.4%, 19.8 points apart on a 0 to 100 scale.
Output price
GPT-4o $10.00 against Qwen3.5 Plus 2026-04-20 $1.80 per million output tokens, 5.6x apart.
Context window
GPT-4o takes 128K tokens, Qwen3.5 Plus 2026-04-20 1M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGPT-4oBarsQwen3.5 Plus 2026-04-20Ties
General02
All shared boards02
CodingDirectional onlySix of these boards feed the Vibe Coding Index11 boards, none shared
Coding benchmarks for GPT-4o and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4oQwen3.5 Plus 2026-04-20Leader
SWE-bench Verified38.8%Not measuredOnly GPT-4o measured
SWE-bench Lite38.0%Not measuredOnly GPT-4o measured
SWE-bench (full test set)18.8%Not measuredOnly GPT-4o measured
SWE-bench Multimodal30.4%Not measuredOnly GPT-4o measured
LiveCodeBench (Vals AI)Not measured85.3%Only Qwen3.5 Plus 2026-04-20 measured
SWE-bench Verified (Vals AI)Not measured71.2%Only Qwen3.5 Plus 2026-04-20 measured
Vibe Code Bench (Vals AI)Not measured15.7%Only Qwen3.5 Plus 2026-04-20 measured
LiveCodeBench (Artificial Analysis run)30.9%Not measuredOnly GPT-4o measured
Terminal-Bench Hard (Artificial Analysis run)8.3%Not measuredOnly GPT-4o measured
ALE-BenchNot measured608.9Only Qwen3.5 Plus 2026-04-20 measured
SciCode1.5%Not measuredOnly GPT-4o measured
Neither model has a result on the other 28 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for GPT-4o and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4oQwen3.5 Plus 2026-04-20Leader
Epoch Capabilities IndexNot measured146.2Only Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for GPT-4o and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4oQwen3.5 Plus 2026-04-20Leader
τ²-Bench Telecom25.1%Not measuredOnly GPT-4o measured
GDPval9.9%Not measuredOnly GPT-4o measured
Vending-Bench 2Not measured$1Only Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 38 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Reasoning benchmarks for GPT-4o and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4oQwen3.5 Plus 2026-04-20Leader
GPQA DiamondNot measured87.4%Only Qwen3.5 Plus 2026-04-20 measured
MMMU Pro (Vals AI)Not measured22.8%Only Qwen3.5 Plus 2026-04-20 measured
GPQA Diamond (Artificial Analysis run)54.3%Not measuredOnly GPT-4o measured
Humanity's Last Exam (Artificial Analysis run)2.4%Not measuredOnly GPT-4o measured
GPQA Diamond (Epoch AI run)Not measured84.8%Only Qwen3.5 Plus 2026-04-20 measured
ARC-AGI4.5%Not measuredOnly GPT-4o measured
ARC-AGI-20.0%Not measuredOnly GPT-4o measured
Chess puzzlesNot measured8.0%Only Qwen3.5 Plus 2026-04-20 measured
Mystery game puzzlesNot measured17.0%Only Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 13 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for GPT-4o and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4oQwen3.5 Plus 2026-04-20Leader
AIMENot measured86.0%Only Qwen3.5 Plus 2026-04-20 measured
AA Math Index6.0Not measuredOnly GPT-4o measured
AIME 2025 (Artificial Analysis run)6.0%Not measuredOnly GPT-4o measured
OTIS Mock AIMENot measured86.7%Only Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Knowledge benchmarks for GPT-4o and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4oQwen3.5 Plus 2026-04-20Leader
MMLU ProNot measured87.2%Only Qwen3.5 Plus 2026-04-20 measured
LegalBench (Vals AI)Not measured85.1%Only Qwen3.5 Plus 2026-04-20 measured
CaseLaw (Vals AI)Not measured59.7%Only Qwen3.5 Plus 2026-04-20 measured
CorpFin (Vals AI)Not measured65.3%Only Qwen3.5 Plus 2026-04-20 measured
MortgageTax (Vals AI)Not measured60.8%Only Qwen3.5 Plus 2026-04-20 measured
MedQA (Vals AI)Not measured95.2%Only Qwen3.5 Plus 2026-04-20 measured
MMLU Pro (Artificial Analysis run)74.8%Not measuredOnly GPT-4o measured
SimpleQA VerifiedNot measured25.4%Only Qwen3.5 Plus 2026-04-20 measured
MMLU88.1%Not measuredOnly GPT-4o measured
Neither model has a result on the other 9 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4o and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4oQwen3.5 Plus 2026-04-20Leader
Design Arena: websites831Not measuredOnly GPT-4o measured
Design Arena: UI components882Not measuredOnly GPT-4o measured
Design Arena: game dev906Not measuredOnly GPT-4o measured
Design Arena: data viz858Not measuredOnly GPT-4o measured
Design Arena: 3D868Not measuredOnly GPT-4o measured
Design Arena: all code categories860Not measuredOnly GPT-4o measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for GPT-4o and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4oQwen3.5 Plus 2026-04-20Leader
SAGE (Vals AI)Not measured30.4%Only Qwen3.5 Plus 2026-04-20 measured
IFBench34.3%Not measuredOnly GPT-4o measured
Long context reasoning (AA-LCR)49.3%Not measuredOnly GPT-4o measured
DTBench64.5%80.5%Qwen3.5 Plus 2026-04-20
LMCA16.6%36.4%Qwen3.5 Plus 2026-04-20
CL-benchNot measured19.8%Only Qwen3.5 Plus 2026-04-20 measured
CL-bench LifeNot measured12.4%Only Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 39 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o and Qwen3.5 Plus 2026-04-20
BenchmarkGPT-4oQwen3.5 Plus 2026-04-20Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-4o$0.0075Fits in one request
Qwen3.5 Plus 2026-04-20$0.0012Fits in one request

Qwen3.5 Plus 2026-04-20 costs less

Repository review

50K input + 3K output tokens

GPT-4o$0.155Fits in one request
Qwen3.5 Plus 2026-04-20$0.020Fits in one request

Qwen3.5 Plus 2026-04-20 costs less

Agent loop

200K input + 10K output tokens

GPT-4o$0.600Exceeds the context window
Qwen3.5 Plus 2026-04-20$0.078Fits in one request

Qwen3.5 Plus 2026-04-20 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-4o and Qwen3.5 Plus 2026-04-20
SpecificationOpenAI GPT-4oQwen3.5 Plus 2026-04-20
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedMay 13, 2024April 27, 2026
Context window128K1M
Input $/Mtok$2.50$0.30
Output $/Mtok$10.00$1.80
Coding indexNot benchmarked39.5
Independent measurements behind it02
Cost per solved taskNot computable$1.35
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o better than Qwen3.5 Plus 2026-04-20 for coding?

Only Qwen3.5 Plus 2026-04-20 has a coding score, 39.5 on the Vibe Coding Index; GPT-4o has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GPT-4o or Qwen3.5 Plus 2026-04-20?

GPT-4o costs $2.50 per million input tokens and $10.00 per million output tokens; Qwen3.5 Plus 2026-04-20 costs $0.30 and $1.80. Cost per solved task is known for Qwen3.5 Plus 2026-04-20 only.

Which has the bigger context window, GPT-4o or Qwen3.5 Plus 2026-04-20?

Qwen3.5 Plus 2026-04-20, with 1M tokens against 128K.

How many benchmarks is the GPT-4o vs Qwen3.5 Plus 2026-04-20 comparison based on?

2 benchmarks have a result for both models as of October 22, 2026. GPT-4o's coding index rests on 0 independent benchmarks and Qwen3.5 Plus 2026-04-20's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next