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Gemini 2.5 Flash vs Qwen3 235B A22B Instruct 2507

Gemini 2.5 Flash leads Qwen3 235B A22B Instruct 2507 on the Artificial Analysis Intelligence Index, 15.5 to 12.0, and Qwen3 235B A22B Instruct 2507 costs 3.3x less per output token ($0.75 vs $2.50 per million). Updated October 22, 2026; 22 benchmarks have a result for both.

Replace Gemini 2.5 Flash Replace Qwen3 235B A22B Instruct 2507
Gemini 2.5 FlashGoogle
Coding
No data
Overall
34.3
Output $/M
$2.50
10
Qwen3 235B A22B Instruct 2507Qwen
Coding
No data
Overall
No data
Output $/M
$0.75
11
vs boards won of 22 shared, 1 tied

Gemini 2.5 Flash 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 for a larger context window (1.05M against 262K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AGemini 2.5 FlashGoogleNot benchmarkedNo coding benchmark$0.466 per solved taskModel BQwen3 235B A22B Instruct 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
22
Gemini 2.5 Flash only
51
Qwen3 235B A22B Instruct 2507 only
2
Like-for-like categories
8 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 not benchmarked, Qwen3 235B A22B Instruct 2507 not benchmarked.
Widest category
Math, 17.7 points apart on average over 2 shared benchmarks.
Widest single gap
ARC-AGI: Gemini 2.5 Flash 33.3% against Qwen3 235B A22B Instruct 2507 11.0%, 22.3 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against Qwen3 235B A22B Instruct 2507 $0.75 per million output tokens, 3.3x apart.
Context window
Gemini 2.5 Flash 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 FlashBarsQwen3 235B A22B Instruct 2507Ties
Coding02
Intelligence10
Agentic work11
Reasoning211 tie
Math02
Knowledge01
Web design51
General13
All shared boards10111 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Gemini 2.5 Flash and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 FlashQwen3 235B A22B Instruct 2507Leader
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
LiveCodeBench (Artificial Analysis run)69.5%78.8%Qwen3 235B A22B Instruct 2507
SciCodeNot measured41.4%Only Qwen3 235B A22B Instruct 2507 measured
Terminal-Bench Hard (Artificial Analysis run)13.6%15.2%Qwen3 235B A22B Instruct 2507
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash measured
WeirdMLNot measured38.7%Only Qwen3 235B A22B Instruct 2507 measured
LMArena Text: coding1423Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: software and IT1425Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 2.5 Flash and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 FlashQwen3 235B A22B Instruct 2507Leader
AA Intelligence Index15.512.0Gemini 2.5 Flash
Epoch Capabilities Index142.9Not measuredOnly Gemini 2.5 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for Gemini 2.5 Flash and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 FlashQwen3 235B A22B Instruct 2507Leader
τ²-Bench Telecom31.6%53.2%Qwen3 235B A22B Instruct 2507
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
Vending-Bench 2$549Not measuredOnly Gemini 2.5 Flash measured
Berkeley Function Calling Leaderboard (BFCL)56.2%52.1%Gemini 2.5 Flash
BrowseComp-Plus39.9%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index21
Reasoning benchmarks for Gemini 2.5 Flash and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 FlashQwen3 235B A22B Instruct 2507Leader
GPQA Diamond (Artificial Analysis run)79.0%79.0%Tie
Humanity's Last Exam (Artificial Analysis run)12.1%15.9%Qwen3 235B A22B Instruct 2507
ARC-AGI33.3%11.0%Gemini 2.5 Flash
ARC-AGI-22.5%1.3%Gemini 2.5 Flash
SimpleBench41.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: hard prompts1422Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: expert1426Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: hard prompts in English1420Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: diagrams1245Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: homework1244Not measuredOnly Gemini 2.5 Flash measured
Kagi LLM Benchmark56.8%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemini 2.5 Flash and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 FlashQwen3 235B A22B Instruct 2507Leader
AA Math Index73.391.0Qwen3 235B A22B Instruct 2507
AIME 2025 (Artificial Analysis run)73.3%91.0%Qwen3 235B A22B Instruct 2507
LMArena Text: math1411Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: mathematical work1422Not measuredOnly Gemini 2.5 Flash measured
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 and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 FlashQwen3 235B A22B Instruct 2507Leader
MedCode (Vals AI)40.4%Not measuredOnly Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)83.2%84.3%Qwen3 235B A22B Instruct 2507
LMArena Text: science1433Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: medicine and healthcare1428Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: legal and government1430Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: business and finance1404Not measuredOnly Gemini 2.5 Flash measured
FACTS Benchmark Suite47.2%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index51
Web design benchmarks for Gemini 2.5 Flash and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 FlashQwen3 235B A22B Instruct 2507Leader
Design Arena: websites10741058Gemini 2.5 Flash
Design Arena: UI components1002962Gemini 2.5 Flash
Design Arena: game dev1004951Gemini 2.5 Flash
Design Arena: data viz10601070Qwen3 235B A22B Instruct 2507
Design Arena: 3D1020994Gemini 2.5 Flash
Design Arena: all code categories10591038Gemini 2.5 Flash
Design Arena: SVG1020Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index13
General benchmarks for Gemini 2.5 Flash and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 FlashQwen3 235B A22B Instruct 2507Leader
SAGE (Vals AI)44.8%Not measuredOnly Gemini 2.5 Flash measured
MedScribe (Vals AI)83.0%Not measuredOnly Gemini 2.5 Flash measured
IFBench50.3%51.2%Qwen3 235B A22B Instruct 2507
Long context reasoning (AA-LCR)65.3%72.0%Qwen3 235B A22B Instruct 2507
DTBench76.5%78.4%Qwen3 235B A22B Instruct 2507
LMCA27.5%23.5%Gemini 2.5 Flash
LMArena Text1417Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: instruction following1405Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: creative writing1400Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision1235Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: English1418Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: non-English1409Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Chinese1449Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: German1417Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Japanese1396Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Korean1385Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: French1432Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Spanish1422Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Russian1415Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Polish1413Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: multi-turn1408Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: longer queries1419Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: writing and language1405Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: entertainment and media1393Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: English1239Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: Chinese1284Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: reading text1237Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: humor1225Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: captioning1277Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: recognizing things1252Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: creative writing1241Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 15 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 and Qwen3 235B A22B Instruct 2507
BenchmarkGemini 2.5 FlashQwen3 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$0.0015Fits in one request
Qwen3 235B A22B Instruct 2507$0.0005Fits in one request

Qwen3 235B A22B Instruct 2507 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash$0.022Fits in one request
Qwen3 235B A22B Instruct 2507$0.0097Fits in one request

Qwen3 235B A22B Instruct 2507 costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash$0.085Fits in one request
Qwen3 235B A22B Instruct 2507$0.037Fits in one request

Qwen3 235B A22B Instruct 2507 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 and Qwen3 235B A22B Instruct 2507
SpecificationGoogle Gemini 2.5 FlashQwen3 235B A22B Instruct 2507
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025July 21, 2025
Context window1.05M262K
Input $/Mtok$0.30$0.15
Output $/Mtok$2.50$0.75
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$0.466Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash 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 for a larger context window (1.05M against 262K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

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

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Qwen3 235B A22B Instruct 2507 costs $0.15 and $0.75. Cost per solved task is known for Gemini 2.5 Flash only.

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

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

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

22 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Flash'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.

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