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Gemini 2.5 Flash vs Qwen2.5 VL 72B Instruct

Qwen2.5 VL 72B Instruct costs 2.5x less per output token than Gemini 2.5 Flash ($1.00 vs $2.50 per million). Updated October 21, 2026; 4 benchmarks have a result for both.

Gemini 2.5 FlashGoogle
Coding
No data
Overall
34.3
Output $/M
$2.50
4
Qwen2.5 VL 72B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.00
0
vs boards won of 4 shared

Gemini 2.5 Flash or Qwen2.5 VL 72B Instruct: 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 128K tokens).

Shared results
4
Gemini 2.5 Flash only
69
Qwen2.5 VL 72B Instruct only
2
Like-for-like categories
2 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, Qwen2.5 VL 72B Instruct not benchmarked.
Widest category
General, 23.9 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Vision: Chinese: Gemini 2.5 Flash 1284 against Qwen2.5 VL 72B Instruct 1107, 29.5 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against Qwen2.5 VL 72B Instruct $1.00 per million output tokens, 2.5x apart.
Context window
Gemini 2.5 Flash takes 1.05M tokens, Qwen2.5 VL 72B Instruct 128K.

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 FlashBarsQwen2.5 VL 72B InstructTies
Reasoning10
General30
All shared boards40
CodingDirectional onlySix of these boards feed the Vibe Coding Index6 boards, none shared
Coding benchmarks for Gemini 2.5 Flash and Qwen2.5 VL 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 VL 72B InstructLeader
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly Gemini 2.5 Flash measured
Terminal-Bench Hard (Artificial Analysis run)13.6%Not measuredOnly Gemini 2.5 Flash measured
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash 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 33 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemini 2.5 Flash and Qwen2.5 VL 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 VL 72B InstructLeader
AA Intelligence Index15.5Not measuredOnly Gemini 2.5 Flash measured
Epoch Capabilities Index142.9Not measuredOnly Gemini 2.5 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for Gemini 2.5 Flash and Qwen2.5 VL 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 VL 72B InstructLeader
τ²-Bench Telecom31.6%Not measuredOnly Gemini 2.5 Flash measured
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
OSWorldNot measured5.0%Only Qwen2.5 VL 72B Instruct measured
Vending-Bench 2$549Not measuredOnly Gemini 2.5 Flash measured
Berkeley Function Calling Leaderboard (BFCL)56.2%Not measuredOnly Gemini 2.5 Flash measured
BrowseComp-Plus39.9%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
Reasoning benchmarks for Gemini 2.5 Flash and Qwen2.5 VL 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 VL 72B InstructLeader
GPQA Diamond (Artificial Analysis run)79.0%Not measuredOnly Gemini 2.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)12.1%Not measuredOnly Gemini 2.5 Flash measured
ARC-AGI33.3%Not measuredOnly Gemini 2.5 Flash measured
ARC-AGI-22.5%Not measuredOnly Gemini 2.5 Flash measured
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%36.0%Gemini 2.5 Flash
Neither model has a result on the other 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Gemini 2.5 Flash and Qwen2.5 VL 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 VL 72B InstructLeader
AA Math Index73.3Not measuredOnly Gemini 2.5 Flash measured
AIME 2025 (Artificial Analysis run)73.3%Not measuredOnly Gemini 2.5 Flash measured
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
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Knowledge benchmarks for Gemini 2.5 Flash and Qwen2.5 VL 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 VL 72B InstructLeader
MedCode (Vals AI)40.4%Not measuredOnly Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)83.2%Not measuredOnly Gemini 2.5 Flash measured
GeoBenchNot measured62.0%Only Qwen2.5 VL 72B Instruct measured
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 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Gemini 2.5 Flash and Qwen2.5 VL 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 VL 72B InstructLeader
Design Arena: websites1074Not measuredOnly Gemini 2.5 Flash measured
Design Arena: UI components1005Not measuredOnly Gemini 2.5 Flash measured
Design Arena: game dev1005Not measuredOnly Gemini 2.5 Flash measured
Design Arena: data viz1060Not measuredOnly Gemini 2.5 Flash measured
Design Arena: 3D1021Not measuredOnly Gemini 2.5 Flash measured
Design Arena: all code categories1059Not measuredOnly Gemini 2.5 Flash measured
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 index30
General benchmarks for Gemini 2.5 Flash and Qwen2.5 VL 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 VL 72B InstructLeader
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%Not measuredOnly Gemini 2.5 Flash measured
Long context reasoning (AA-LCR)65.3%Not measuredOnly Gemini 2.5 Flash measured
DTBench76.5%Not measuredOnly Gemini 2.5 Flash measured
LMCA27.5%Not measuredOnly Gemini 2.5 Flash measured
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 Vision12351107Gemini 2.5 Flash
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: English12391115Gemini 2.5 Flash
LMArena Vision: Chinese12841107Gemini 2.5 Flash
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 Qwen2.5 VL 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 VL 72B InstructLeader
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
Qwen2.5 VL 72B Instruct$0.0013Fits in one request

Qwen2.5 VL 72B Instruct costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash$0.022Fits in one request
Qwen2.5 VL 72B Instruct$0.043Fits in one request

Gemini 2.5 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash$0.085Fits in one request
Qwen2.5 VL 72B Instruct$0.170Exceeds the context window

Gemini 2.5 Flash 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 Qwen2.5 VL 72B Instruct
SpecificationGoogle Gemini 2.5 FlashQwen2.5 VL 72B Instruct
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025February 1, 2025
Context window1.05M128K
Input $/Mtok$0.30$0.80
Output $/Mtok$2.50$1.00
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 Qwen2.5 VL 72B Instruct 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 128K tokens).

Which is cheaper, Gemini 2.5 Flash or Qwen2.5 VL 72B Instruct?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Qwen2.5 VL 72B Instruct costs $0.80 and $1.00. Cost per solved task is known for Gemini 2.5 Flash only.

Which has the bigger context window, Gemini 2.5 Flash or Qwen2.5 VL 72B Instruct?

Gemini 2.5 Flash, with 1.05M tokens against 128K.

How many benchmarks is the Gemini 2.5 Flash vs Qwen2.5 VL 72B Instruct comparison based on?

4 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash's coding index rests on 0 independent benchmarks and Qwen2.5 VL 72B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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