Noometry

Model comparison

Gemini 2.5 Flash-Lite vs Qwen3 Coder Next

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 34.3 on the Noometry Index.

Last verified . 1 shared benchmarks.

Gemini 2.5 Flash-Lite Google

37.0

Rank #211 Confirmed

Qwen3 Coder Next Alibaba (Qwen)

34.3

Rank #232 Reported

Summary

  • They share 1 benchmark with published results for both. Gemini 2.5 Flash-Lite scores higher in 1 category and Qwen3 Coder Next in 1 category; one gap is clear of the uncertainty.
  • Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.12 / $0.80 for Qwen3 Coder Next.
  • Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 262K.
  • Qwen3 Coder Next has downloadable open weights; the other is API-only.

Side by side

Gemini 2.5 Flash-LiteQwen3 Coder Next
ProviderGoogleAlibaba (Qwen)
Noometry Index37.034.3
Released2025-06-172026-02-02
WeightsProprietaryOpen
Context window1.05M262K
Max output66K66K
Input $ / M tokens$0.10$0.12
Output $ / M tokens$0.40$0.80
Results tracked333

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Category by category

Coding Gemini 2.5 Flash-Lite leads

Gemini 2.5 Flash-Lite: 38.5 (#173), Qwen3 Coder Next: 36.3 (#210)

BenchmarkGemini 2.5 Flash-LiteQwen3 Coder Next
WeirdML35.2%34.4%
SciCode—32.3%
LMArena Coding1373—
ALE-Bench325.9—

Agentic & Tool Use Not comparable

Gemini 2.5 Flash-Lite: 28.0 (#96), Qwen3 Coder Next: —

BenchmarkGemini 2.5 Flash-LiteQwen3 Coder Next
Berkeley Function Calling Leaderboard36.9%—

Reasoning Too close to call

Gemini 2.5 Flash-Lite: 22.2 (#205), Qwen3 Coder Next: 22.4 (#196)

BenchmarkGemini 2.5 Flash-LiteQwen3 Coder Next
Kagi LLM Benchmark40.5%—
CritPt—0%
LMArena Hard Prompts1377—
DTBench62.8%—
LMCA18.1%—
Epoch Capabilities Index133.94—

Math Not comparable

Gemini 2.5 Flash-Lite: 38.0 (#144), Qwen3 Coder Next: —

BenchmarkGemini 2.5 Flash-LiteQwen3 Coder Next
Omni-MATH48%—
LMArena Math1373—

Knowledge Not comparable

Gemini 2.5 Flash-Lite: 32.5 (#210), Qwen3 Coder Next: —

BenchmarkGemini 2.5 Flash-LiteQwen3 Coder Next
MMLU-Pro53.7%—
Vectara Hallucination Rate3.3%—
GPQA (HELM)30.9%—
LMArena Expert1373—

Multimodal Not comparable

Gemini 2.5 Flash-Lite: 29.1 (#114), Qwen3 Coder Next: —

BenchmarkGemini 2.5 Flash-LiteQwen3 Coder Next
LMArena Vision1198—
VPCT30%—

Multilingual Not comparable

Gemini 2.5 Flash-Lite: 49.3 (#134), Qwen3 Coder Next: —

BenchmarkGemini 2.5 Flash-LiteQwen3 Coder Next
LMArena Non-English1369—
LMArena Chinese1404—
LMArena French1388—
LMArena German1389—
LMArena Japanese1359—
LMArena Korean1360—
LMArena Russian1373—
LMArena Spanish1396—

Instruction Following Not comparable

Gemini 2.5 Flash-Lite: 70.0 (#168), Qwen3 Coder Next: —

BenchmarkGemini 2.5 Flash-LiteQwen3 Coder Next
IFEval81%—
LMArena Instruction Following1367—

Long Context Not comparable

Gemini 2.5 Flash-Lite: 33.3 (#262), Qwen3 Coder Next: —

BenchmarkGemini 2.5 Flash-LiteQwen3 Coder Next
Fiction.LiveBench47.2%—
LMArena Longer Query1373—

Writing & Preference Not comparable

Gemini 2.5 Flash-Lite: 56.8 (#135), Qwen3 Coder Next: —

BenchmarkGemini 2.5 Flash-LiteQwen3 Coder Next
LMArena Text1379—
LMArena Creative Writing1367—
WildBench81.8%—
LMArena Multi-Turn1366—

Frequently asked questions

Is Gemini 2.5 Flash-Lite better than Qwen3 Coder Next?

Gemini 2.5 Flash-Lite is the stronger model overall, scoring 37.0 to 34.3 on the Noometry Index.

Which is cheaper, Gemini 2.5 Flash-Lite or Qwen3 Coder Next?

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Qwen3 Coder Next lists at $0.12 and $0.80.

Is Gemini 2.5 Flash-Lite or Qwen3 Coder Next better for coding?

Gemini 2.5 Flash-Lite scores higher on coding benchmarks: 38.5 versus 36.3 in the Noometry coding category.

Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 262K.

How many benchmarks do Gemini 2.5 Flash-Lite and Qwen3 Coder Next share?

1 benchmark has published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Qwen3 Coder Next has 3.

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