Enter opens the highlighted result. Esc closes.

Gemini 2.5 Flash Lite vs Qwen3 235B A22B Instruct 2507

Qwen3 235B A22B Instruct 2507 leads Gemini 2.5 Flash Lite on the Artificial Analysis Intelligence Index, 12.0 to 10.4, and Gemini 2.5 Flash Lite costs 1.9x less per output token ($0.40 vs $0.75 per million). Updated October 22, 2026; 14 benchmarks have a result for both.

Gemini 2.5 Flash LiteGoogle
Coding
No data
Overall
No data
Output $/M
$0.40
0
Qwen3 235B A22B Instruct 2507Qwen
Coding
No data
Overall
No data
Output $/M
$0.75
14
vs boards won of 14 shared

Gemini 2.5 Flash Lite or Qwen3 235B A22B Instruct 2507: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Gemini 2.5 Flash Lite for output tokens 1.9x cheaper ($0.40 vs $0.75 per million) and a larger context window (1.05M against 262K tokens).

Shared results
14
Gemini 2.5 Flash Lite only
16
Qwen3 235B A22B Instruct 2507 only
10
Like-for-like categories
7 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
Gemini 2.5 Flash Lite not benchmarked, Qwen3 235B A22B Instruct 2507 not benchmarked.
Widest category
Math, 37.7 points apart on average over 2 shared benchmarks.
Widest single gap
AA Math Index: Gemini 2.5 Flash Lite 53.3 against Qwen3 235B A22B Instruct 2507 91.0, 37.7 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash Lite $0.40 against Qwen3 235B A22B Instruct 2507 $0.75 per million output tokens, 1.9x apart.
Context window
Gemini 2.5 Flash Lite takes 1.05M tokens, Qwen3 235B A22B Instruct 2507 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
CategoryGemini 2.5 Flash LiteBarsQwen3 235B A22B Instruct 2507Ties
Coding02
Intelligence01
Agentic work02
Reasoning02
Math02
Knowledge01
General04
All shared boards014
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Gemini 2.5 Flash Lite and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 Flash LiteQwen3 235B A22B Instruct 2507Leader
LiveCodeBench (Vals AI)71.4%Not measuredOnly Gemini 2.5 Flash Lite measured
LiveCodeBench (Artificial Analysis run)59.3%78.8%Qwen3 235B A22B Instruct 2507
SciCodeNot measured41.4%Only Qwen3 235B A22B Instruct 2507 measured
Terminal-Bench Hard (Artificial Analysis run)4.5%15.2%Qwen3 235B A22B Instruct 2507
WeirdMLNot measured38.7%Only Qwen3 235B A22B Instruct 2507 measured
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 2.5 Flash Lite and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 Flash LiteQwen3 235B A22B Instruct 2507Leader
AA Intelligence Index10.412.0Qwen3 235B A22B Instruct 2507
Epoch Capabilities Index133.8Not measuredOnly Gemini 2.5 Flash Lite measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemini 2.5 Flash Lite and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 Flash LiteQwen3 235B A22B Instruct 2507Leader
τ²-Bench Telecom19.0%53.2%Qwen3 235B A22B Instruct 2507
Berkeley Function Calling Leaderboard (BFCL)36.9%52.1%Qwen3 235B A22B Instruct 2507
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 Gemini 2.5 Flash Lite and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 Flash LiteQwen3 235B A22B Instruct 2507Leader
GPQA Diamond70.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MMMU Pro (Vals AI)75.4%Not measuredOnly Gemini 2.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)62.5%79.0%Qwen3 235B A22B Instruct 2507
Humanity's Last Exam (Artificial Analysis run)6.8%15.9%Qwen3 235B A22B Instruct 2507
ARC-AGINot measured11.0%Only Qwen3 235B A22B Instruct 2507 measured
ARC-AGI-2Not measured1.3%Only Qwen3 235B A22B Instruct 2507 measured
Kagi LLM Benchmark40.5%Not measuredOnly Gemini 2.5 Flash Lite measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemini 2.5 Flash Lite and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 Flash LiteQwen3 235B A22B Instruct 2507Leader
AIME42.1%Not measuredOnly Gemini 2.5 Flash Lite measured
MGSM (Vals AI)89.5%Not measuredOnly Gemini 2.5 Flash Lite measured
AA Math Index53.391.0Qwen3 235B A22B Instruct 2507
AIME 2025 (Artificial Analysis run)53.3%91.0%Qwen3 235B A22B Instruct 2507
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for Gemini 2.5 Flash Lite and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 Flash LiteQwen3 235B A22B Instruct 2507Leader
MMLU Pro79.1%Not measuredOnly Gemini 2.5 Flash Lite measured
LegalBench (Vals AI)82.0%Not measuredOnly Gemini 2.5 Flash Lite measured
CorpFin (Vals AI)57.6%Not measuredOnly Gemini 2.5 Flash Lite measured
TaxEval (Vals AI)66.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MortgageTax (Vals AI)57.6%Not measuredOnly Gemini 2.5 Flash Lite measured
MedQA (Vals AI)88.9%Not measuredOnly Gemini 2.5 Flash Lite measured
MedCode (Vals AI)34.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MMLU Pro (Artificial Analysis run)75.9%84.3%Qwen3 235B A22B Instruct 2507
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Gemini 2.5 Flash Lite and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 Flash LiteQwen3 235B A22B Instruct 2507Leader
Design Arena: websitesNot measured1058Only Qwen3 235B A22B Instruct 2507 measured
Design Arena: UI componentsNot measured962Only Qwen3 235B A22B Instruct 2507 measured
Design Arena: game devNot measured951Only Qwen3 235B A22B Instruct 2507 measured
Design Arena: data vizNot measured1070Only Qwen3 235B A22B Instruct 2507 measured
Design Arena: 3DNot measured994Only Qwen3 235B A22B Instruct 2507 measured
Design Arena: all code categoriesNot measured1038Only Qwen3 235B A22B Instruct 2507 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index04
General benchmarks for Gemini 2.5 Flash Lite and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 Flash LiteQwen3 235B A22B Instruct 2507Leader
SAGE (Vals AI)30.8%Not measuredOnly Gemini 2.5 Flash Lite measured
MedScribe (Vals AI)75.8%Not measuredOnly Gemini 2.5 Flash Lite measured
IFBench49.9%51.2%Qwen3 235B A22B Instruct 2507
Long context reasoning (AA-LCR)55.7%72.0%Qwen3 235B A22B Instruct 2507
DTBench62.8%78.4%Qwen3 235B A22B Instruct 2507
LMCA18.1%23.5%Qwen3 235B A22B Instruct 2507
Neither model has a result on the other 40 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Flash Lite and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 Flash LiteQwen3 235B A22B Instruct 2507Leader
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

Gemini 2.5 Flash Lite$0.0003Fits in one request
Qwen3 235B A22B Instruct 2507$0.0005Fits in one request

Gemini 2.5 Flash Lite costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash Lite$0.0062Fits in one request
Qwen3 235B A22B Instruct 2507$0.0097Fits in one request

Gemini 2.5 Flash Lite costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash Lite$0.024Fits in one request
Qwen3 235B A22B Instruct 2507$0.037Fits in one request

Gemini 2.5 Flash Lite 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 Gemini 2.5 Flash Lite and Qwen3 235B A22B Instruct 2507
SpecificationGoogle Gemini 2.5 Flash LiteQwen3 235B A22B Instruct 2507
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedJuly 22, 2025July 21, 2025
Context window1.05M262K
Input $/Mtok$0.10$0.15
Output $/Mtok$0.40$0.75
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash Lite better than Qwen3 235B A22B Instruct 2507 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash Lite for output tokens 1.9x cheaper ($0.40 vs $0.75 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, Gemini 2.5 Flash Lite or Qwen3 235B A22B Instruct 2507?

Gemini 2.5 Flash Lite costs $0.10 per million input tokens and $0.40 per million output tokens; Qwen3 235B A22B Instruct 2507 costs $0.15 and $0.75. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 2.5 Flash Lite or Qwen3 235B A22B Instruct 2507?

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

How many benchmarks is the Gemini 2.5 Flash Lite vs Qwen3 235B A22B Instruct 2507 comparison based on?

14 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Flash Lite's coding index rests on 0 independent benchmarks and Qwen3 235B A22B Instruct 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next