Model comparison

Qwen3.5-Flash vs Sonar

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 38.5 on the Noometry Index.

Last verified . 0 shared benchmarks.

Qwen3.5-Flash Alibaba (Qwen)

42.5

Rank #112 Confirmed

Sonar Perplexity

38.5

Rank #187 Confirmed

Summary

  • The widest gap is in reasoning, where Qwen3.5-Flash leads 33.7 to 21.1.
  • Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $1 / $1 for Sonar.
  • Qwen3.5-Flash accepts more context: 1M tokens versus 128K.

Side by side

Qwen3.5-Flash and Sonar specifications
Qwen3.5-FlashSonar
ProviderAlibaba (Qwen)Perplexity
Noometry Index42.538.5
Released2026-02-232024-01-01
WeightsProprietaryProprietary
Context window1M128K
Max output66K4K
Input $ / M tokens$0.10$1
Output $ / M tokens$0.40$1
Results tracked327

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Category by category

Coding Sonar leads

Qwen3.5-Flash: 34.2 (#242), Sonar: 35.7 (#221)

Coding benchmarks
BenchmarkQwen3.5-FlashSonar
LMArena WebDev1244—
LiveBench Coding—35.1%
LMArena Coding1412—
ALE-Bench221.8—

Agentic & Tool Use Not comparable

Qwen3.5-Flash: —, Sonar: —

Agentic & Tool Use benchmarks
BenchmarkQwen3.5-FlashSonar
Vending-Bench 2462.69—

Reasoning Qwen3.5-Flash leads

Qwen3.5-Flash: 33.7 (#72), Sonar: 21.1 (#227)

Reasoning benchmarks
BenchmarkQwen3.5-FlashSonar
Chess Puzzles21%—
LiveBench Reasoning—46.3%
LMArena Hard Prompts1403—
Mystery Game Puzzles20%—
DTBench82.9%—
LiveBench Data Analysis—37.9%
LMCA29.1%—
Epoch Capabilities Index143.98—
LiveBench—46.9%

Math Qwen3.5-Flash leads

Qwen3.5-Flash: 37.4 (#158), Sonar: 33.7 (#200)

Math benchmarks
BenchmarkQwen3.5-FlashSonar
FrontierMath (Tiers 1-3)18.2%—
OTIS Mock AIME 2024-202584.4%—
LiveBench Math—41.6%
LMArena Math1407—
FrontierMath (Feb 2025 set)6.2%—
FrontierMath Tier 4 (v1)0%—

Knowledge Not comparable

Qwen3.5-Flash: 43.2 (#93), Sonar: —

Knowledge benchmarks
BenchmarkQwen3.5-FlashSonar
GPQA Diamond82.3%—
SimpleQA Verified20.3%—
Vectara Hallucination Rate10.5%—
LMArena Expert1407—

Multilingual Not comparable

Qwen3.5-Flash: 50.5 (#121), Sonar: —

Multilingual benchmarks
BenchmarkQwen3.5-FlashSonar
LMArena Non-English1385—
LMArena Chinese1446—
LMArena French1412—
LMArena German1390—
LMArena Japanese1368—
LMArena Korean1344—
LMArena Russian1379—
LMArena Spanish1400—

Instruction Following Qwen3.5-Flash leads

Qwen3.5-Flash: 72.6 (#139), Sonar: 71.4 (#150)

Instruction Following benchmarks
BenchmarkQwen3.5-FlashSonar
LiveBench Instruction Following—76.2%
LMArena Instruction Following1374—

Long Context Not comparable

Qwen3.5-Flash: 42.4 (#124), Sonar: —

Long Context benchmarks
BenchmarkQwen3.5-FlashSonar
LMArena Longer Query1392—

Writing & Preference Qwen3.5-Flash leads

Qwen3.5-Flash: 57.9 (#122), Sonar: 52.6 (#167)

Writing & Preference benchmarks
BenchmarkQwen3.5-FlashSonar
LMArena Text1397—
LMArena Creative Writing1343—
LMArena Multi-Turn1393—
LiveBench Language—44.1%

Frequently asked questions

Is Qwen3.5-Flash better than Sonar?

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 38.5 on the Noometry Index.

Which is cheaper, Qwen3.5-Flash or Sonar?

Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Sonar lists at $1 and $1.

Is Qwen3.5-Flash or Sonar better for coding?

Sonar scores higher on coding benchmarks: 35.7 versus 34.2 in the Noometry coding category.

Which has the bigger context window?

Qwen3.5-Flash does, with 1M tokens against 128K.

How many benchmarks do Qwen3.5-Flash and Sonar share?

0 benchmarks have published results for both models. Qwen3.5-Flash has 32 scored results on Noometry and Sonar has 7.

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