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Qwen3.5 Plus 2026-04-20 vs UnslopNemo 12B

UnslopNemo 12B costs 4.5x less per output token than Qwen3.5 Plus 2026-04-20 ($0.40 vs $1.80 per million). Updated October 23, 2026; no benchmark has tested both models yet.

Qwen3.5 Plus 2026-04-20Qwen
Coding
39.5
Overall
No data
Output $/M
$1.80
T UnslopNemo 12BTheDrummer
Coding
No data
Overall
No data
Output $/M
$0.40
vs $1.80 vs $0.40 per 1M output tokens. UnslopNemo 12B is 4.5x cheaper.

Qwen3.5 Plus 2026-04-20 or UnslopNemo 12B: which to pick

Only Qwen3.5 Plus 2026-04-20 has a coding score, 39.5 on the Vibe Coding Index; UnslopNemo 12B has none, so the two cannot be ranked on coding.

Pick UnslopNemo 12B for output tokens 4.5x cheaper ($0.40 vs $1.80 per million) and a larger context window (1.02M against 1M tokens).

No benchmark has tested both yet. Qwen3.5 Plus 2026-04-20 has results on LiveCodeBench (Vals AI), SWE-bench Verified (Vals AI) and Vibe Code Bench (Vals AI); UnslopNemo 12B has none yet. Compare them on price and context instead.

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
Qwen3.5 Plus 2026-04-20 39.5 from 2 benchmarks, UnslopNemo 12B not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Qwen3.5 Plus 2026-04-20 $1.80 against UnslopNemo 12B $0.40 per million output tokens, 4.5x apart.
Context window
Qwen3.5 Plus 2026-04-20 takes 1M tokens, UnslopNemo 12B 1.02M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards measured
Coding benchmarks for Qwen3.5 Plus 2026-04-20 and UnslopNemo 12B
BenchmarkQwen3.5 Plus 2026-04-20UnslopNemo 12BLeader
LiveCodeBench (Vals AI)85.3%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
SWE-bench Verified (Vals AI)71.2%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Vibe Code Bench (Vals AI)15.7%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
ALE-Bench608.9Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 39 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Qwen3.5 Plus 2026-04-20 and UnslopNemo 12B
BenchmarkQwen3.5 Plus 2026-04-20UnslopNemo 12BLeader
Epoch Capabilities Index146.2Not measuredOnly 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 index1 board measured
Agentic work benchmarks for Qwen3.5 Plus 2026-04-20 and UnslopNemo 12B
BenchmarkQwen3.5 Plus 2026-04-20UnslopNemo 12BLeader
Vending-Bench 2$1Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 41 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Reasoning benchmarks for Qwen3.5 Plus 2026-04-20 and UnslopNemo 12B
BenchmarkQwen3.5 Plus 2026-04-20UnslopNemo 12BLeader
GPQA Diamond87.4%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
MMMU Pro (Vals AI)22.8%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
GPQA Diamond (Epoch AI run)84.8%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Chess puzzles8.0%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Mystery game puzzles17.0%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 18 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for Qwen3.5 Plus 2026-04-20 and UnslopNemo 12B
BenchmarkQwen3.5 Plus 2026-04-20UnslopNemo 12BLeader
AIME86.0%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
OTIS Mock AIME86.7%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
Knowledge benchmarks for Qwen3.5 Plus 2026-04-20 and UnslopNemo 12B
BenchmarkQwen3.5 Plus 2026-04-20UnslopNemo 12BLeader
MMLU Pro87.2%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
LegalBench (Vals AI)85.1%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
CaseLaw (Vals AI)59.7%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
CorpFin (Vals AI)65.3%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
MortgageTax (Vals AI)60.8%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
MedQA (Vals AI)95.2%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
SimpleQA Verified25.4%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 13 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
General benchmarks for Qwen3.5 Plus 2026-04-20 and UnslopNemo 12B
BenchmarkQwen3.5 Plus 2026-04-20UnslopNemo 12BLeader
SAGE (Vals AI)30.4%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
DTBench80.5%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
LMCA36.4%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
CL-bench19.8%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
CL-bench Life12.4%Not measuredOnly Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 43 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

Qwen3.5 Plus 2026-04-20$0.0012Fits in one request
UnslopNemo 12B$0.0006Fits in one request

UnslopNemo 12B costs less

Repository review

50K input + 3K output tokens

Qwen3.5 Plus 2026-04-20$0.020Fits in one request
UnslopNemo 12B$0.021Fits in one request

Qwen3.5 Plus 2026-04-20 costs less

Agent loop

200K input + 10K output tokens

Qwen3.5 Plus 2026-04-20$0.078Fits in one request
UnslopNemo 12B$0.084Fits 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 Qwen3.5 Plus 2026-04-20 and UnslopNemo 12B
SpecificationQwen3.5 Plus 2026-04-20TheDrummer UnslopNemo 12B
MakerQwenTheDrummer
WeightsNo public weights listedOpen weights
ReleasedApril 27, 2026November 8, 2024
Context window1M1.02M
Input $/Mtok$0.30$0.40
Output $/Mtok$1.80$0.40
Coding index39.5Not benchmarked
Independent measurements behind it20
Cost per solved task$1.35Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5 Plus 2026-04-20 better than UnslopNemo 12B for coding?

Only Qwen3.5 Plus 2026-04-20 has a coding score, 39.5 on the Vibe Coding Index; UnslopNemo 12B has none, so the two cannot be ranked on coding. Pick UnslopNemo 12B for output tokens 4.5x cheaper ($0.40 vs $1.80 per million) and a larger context window (1.02M against 1M tokens).

Which is cheaper, Qwen3.5 Plus 2026-04-20 or UnslopNemo 12B?

Qwen3.5 Plus 2026-04-20 costs $0.30 per million input tokens and $1.80 per million output tokens; UnslopNemo 12B costs $0.40 and $0.40. Cost per solved task is known for Qwen3.5 Plus 2026-04-20 only.

Which has the bigger context window, Qwen3.5 Plus 2026-04-20 or UnslopNemo 12B?

UnslopNemo 12B, with 1.02M tokens against 1M.

Has any benchmark tested both Qwen3.5 Plus 2026-04-20 and UnslopNemo 12B?

No benchmark has tested both yet. Qwen3.5 Plus 2026-04-20 has results on LiveCodeBench (Vals AI), SWE-bench Verified (Vals AI) and Vibe Code Bench (Vals AI); UnslopNemo 12B has none yet. Compare them on price and context instead. Data as of October 23, 2026.

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