Enter opens the highlighted result. Esc closes.

Nova Premier 1.0 vs Qwen3.6 27B

Qwen3.6 27B leads Nova Premier 1.0 on the Artificial Analysis Intelligence Index, 21.4 to 9.2, and Qwen3.6 27B costs 4.6x less per output token ($2.70 vs $12.50 per million). Updated October 22, 2026; 7 benchmarks have a result for both.

Nova Premier 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$12.50
0
Qwen3.6 27BQwen
Coding
36.8
Overall
45.3
Output $/M
$2.70
7
vs boards won of 7 shared

Nova Premier 1.0 or Qwen3.6 27B: which to pick

Only Qwen3.6 27B has a coding score, 36.8 on the Vibe Coding Index; Nova Premier 1.0 has none, so the two cannot be ranked on coding.

Pick Nova Premier 1.0 for a larger context window (1M against 262K tokens).

Shared results
7
Nova Premier 1.0 only
7
Qwen3.6 27B only
17
Like-for-like categories
5 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
Nova Premier 1.0 not benchmarked, Qwen3.6 27B 36.8 from 2 benchmarks.
Widest category
Agentic work, 55.8 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Nova Premier 1.0 38.3% against Qwen3.6 27B 94.2%, 55.8 points apart on a 0 to 100 scale.
Output price
Nova Premier 1.0 $12.50 against Qwen3.6 27B $2.70 per million output tokens, 4.6x apart.
Context window
Nova Premier 1.0 takes 1M tokens, Qwen3.6 27B 262K.

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
CategoryNova Premier 1.0BarsQwen3.6 27BTies
Coding01
Intelligence01
Agentic work01
Reasoning02
General02
All shared boards07
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Nova Premier 1.0 and Qwen3.6 27B
BenchmarkNova Premier 1.0Qwen3.6 27BLeader
AA Coding IndexNot measured53.7Only Qwen3.6 27B measured
SWE-bench Verified (Vals AI)Not measured70.0%Only Qwen3.6 27B measured
Vibe Code Bench (Vals AI)Not measured11.9%Only Qwen3.6 27B measured
LiveCodeBench (Artificial Analysis run)31.7%Not measuredOnly Nova Premier 1.0 measured
SciCodeNot measured42.8%Only Qwen3.6 27B measured
Terminal-Bench Hard (Artificial Analysis run)6.8%34.8%Qwen3.6 27B
ALE-Bench147.4Not measuredOnly Nova Premier 1.0 measured
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova Premier 1.0 and Qwen3.6 27B
BenchmarkNova Premier 1.0Qwen3.6 27BLeader
AA Intelligence Index9.221.4Qwen3.6 27B
Epoch Capabilities IndexNot measured146.2Only Qwen3.6 27B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Nova Premier 1.0 and Qwen3.6 27B
BenchmarkNova Premier 1.0Qwen3.6 27BLeader
AA Agentic IndexNot measured18.5Only Qwen3.6 27B measured
τ²-Bench Telecom38.3%94.2%Qwen3.6 27B
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Nova Premier 1.0 and Qwen3.6 27B
BenchmarkNova Premier 1.0Qwen3.6 27BLeader
GPQA Diamond (Artificial Analysis run)56.9%84.2%Qwen3.6 27B
Humanity's Last Exam (Artificial Analysis run)4.2%23.1%Qwen3.6 27B
GPQA Diamond (Epoch AI run)Not measured85.9%Only Qwen3.6 27B measured
Mystery game puzzlesNot measured7.0%Only Qwen3.6 27B measured
Kagi LLM Benchmark44.8%Not measuredOnly Nova Premier 1.0 measured
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Nova Premier 1.0 and Qwen3.6 27B
BenchmarkNova Premier 1.0Qwen3.6 27BLeader
AA Math Index17.3Not measuredOnly Nova Premier 1.0 measured
AIME 2025 (Artificial Analysis run)17.3%Not measuredOnly Nova Premier 1.0 measured
OTIS Mock AIMENot measured91.1%Only Qwen3.6 27B measured
FrontierMath, tiers 1 to 3Not measured35.1%Only Qwen3.6 27B measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for Nova Premier 1.0 and Qwen3.6 27B
BenchmarkNova Premier 1.0Qwen3.6 27BLeader
CaseLaw (Vals AI)Not measured53.2%Only Qwen3.6 27B measured
CorpFin (Vals AI)Not measured62.3%Only Qwen3.6 27B measured
TaxEval (Vals AI)Not measured71.3%Only Qwen3.6 27B measured
MortgageTax (Vals AI)Not measured68.3%Only Qwen3.6 27B measured
MMLU Pro (Artificial Analysis run)73.3%Not measuredOnly Nova Premier 1.0 measured
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for Nova Premier 1.0 and Qwen3.6 27B
BenchmarkNova Premier 1.0Qwen3.6 27BLeader
Design Arena: websites835Not measuredOnly Nova Premier 1.0 measured
Neither model has a result on the other 8 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for Nova Premier 1.0 and Qwen3.6 27B
BenchmarkNova Premier 1.0Qwen3.6 27BLeader
SAGE (Vals AI)Not measured45.6%Only Qwen3.6 27B measured
IFBench36.2%67.6%Qwen3.6 27B
Long context reasoning (AA-LCR)34.3%77.3%Qwen3.6 27B
DTBenchNot measured78.1%Only Qwen3.6 27B measured
LMCANot measured34.5%Only Qwen3.6 27B measured
Neither model has a result on the other 41 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nova Premier 1.0 and Qwen3.6 27B
BenchmarkNova Premier 1.0Qwen3.6 27BLeader
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

Nova Premier 1.0$0.0088Fits in one request
Qwen3.6 27B$0.0018Fits in one request

Qwen3.6 27B costs less

Repository review

50K input + 3K output tokens

Nova Premier 1.0$0.163Fits in one request
Qwen3.6 27B$0.031Fits in one request

Qwen3.6 27B costs less

Agent loop

200K input + 10K output tokens

Nova Premier 1.0$0.625Fits in one request
Qwen3.6 27B$0.117Fits in one request

Qwen3.6 27B 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 Nova Premier 1.0 and Qwen3.6 27B
SpecificationAmazon Nova Premier 1.0Qwen3.6 27B
MakerAmazonQwen
WeightsNo public weights listedOpen weights
ReleasedOctober 31, 2025April 27, 2026
Context window1M262K
Input $/Mtok$2.50$0.45
Output $/Mtok$12.50$2.70
Coding indexNot benchmarked36.8
Independent measurements behind it02
Cost per solved taskNot computable$1.30
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Premier 1.0 better than Qwen3.6 27B for coding?

Only Qwen3.6 27B has a coding score, 36.8 on the Vibe Coding Index; Nova Premier 1.0 has none, so the two cannot be ranked on coding. Pick Nova Premier 1.0 for a larger context window (1M against 262K tokens).

Which is cheaper, Nova Premier 1.0 or Qwen3.6 27B?

Nova Premier 1.0 costs $2.50 per million input tokens and $12.50 per million output tokens; Qwen3.6 27B costs $0.45 and $2.70. Cost per solved task is known for Qwen3.6 27B only.

Which has the bigger context window, Nova Premier 1.0 or Qwen3.6 27B?

Nova Premier 1.0, with 1M tokens against 262K.

How many benchmarks is the Nova Premier 1.0 vs Qwen3.6 27B comparison based on?

7 benchmarks have a result for both models as of October 22, 2026. Nova Premier 1.0's coding index rests on 0 independent benchmarks and Qwen3.6 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next