Enter opens the highlighted result. Esc closes.

Gemini 2.5 Flash vs Qwen2.5 72B Instruct

Gemini 2.5 Flash leads Qwen2.5 72B Instruct on the Artificial Analysis Intelligence Index, 15.5 to 7.7, and Qwen2.5 72B Instruct costs 6.3x less per output token ($0.40 vs $2.50 per million). Updated October 21, 2026; 41 benchmarks have a result for both.

Gemini 2.5 FlashGoogle
Coding
No data
Overall
34.3
Output $/M
$2.50
40
Qwen2.5 72B InstructQwen
Coding
No data
Overall
26.5
Output $/M
$0.40
1
vs boards won of 41 shared

Gemini 2.5 Flash or Qwen2.5 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 33K tokens) and work measured by τ²-Bench Telecom, where it leads.

Shared results
41
Gemini 2.5 Flash only
32
Qwen2.5 72B Instruct only
12
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 not benchmarked, Qwen2.5 72B Instruct not benchmarked.
Widest category
Math, 40.5 points apart on average over 4 shared benchmarks.
Widest single gap
AIME 2025 (Artificial Analysis run): Gemini 2.5 Flash 73.3% against Qwen2.5 72B Instruct 14.0%, 59.3 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against Qwen2.5 72B Instruct $0.40 per million output tokens, 6.3x apart.
Context window
Gemini 2.5 Flash takes 1.05M tokens, Qwen2.5 72B Instruct 33K.

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 72B InstructTies
Coding40
Intelligence20
Agentic work11
Reasoning50
Math40
Knowledge50
General190
All shared boards401
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for Gemini 2.5 Flash and Qwen2.5 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 72B InstructLeader
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
LiveCodeBench (Artificial Analysis run)69.5%27.6%Gemini 2.5 Flash
Terminal-Bench Hard (Artificial Analysis run)13.6%4.5%Gemini 2.5 Flash
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash measured
WeirdMLNot measured16.0%Only Qwen2.5 72B Instruct measured
LMArena Text: coding14231292Gemini 2.5 Flash
LMArena Text: software and IT14251292Gemini 2.5 Flash
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 2.5 Flash and Qwen2.5 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 72B InstructLeader
AA Intelligence Index15.57.7Gemini 2.5 Flash
Epoch Capabilities Index142.9129.0Gemini 2.5 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for Gemini 2.5 Flash and Qwen2.5 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 72B InstructLeader
τ²-Bench Telecom31.6%34.5%Qwen2.5 72B Instruct
METR time horizonsNot measured35.8%Only Qwen2.5 72B Instruct measured
BALROG33.5%16.2%Gemini 2.5 Flash
TheAgentCompanyNot measured5.7%Only Qwen2.5 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 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Gemini 2.5 Flash and Qwen2.5 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 72B InstructLeader
GPQA Diamond (Artificial Analysis run)79.0%49.1%Gemini 2.5 Flash
Humanity's Last Exam (Artificial Analysis run)12.1%3.6%Gemini 2.5 Flash
GPQA Diamond (Epoch AI run)Not measured49.1%Only Qwen2.5 72B Instruct 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
BIG-Bench HardNot measured79.8%Only Qwen2.5 72B Instruct measured
LMArena Text: hard prompts14221271Gemini 2.5 Flash
LMArena Text: expert14261245Gemini 2.5 Flash
LMArena Text: hard prompts in English14201279Gemini 2.5 Flash
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 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Gemini 2.5 Flash and Qwen2.5 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 72B InstructLeader
AA Math Index73.314.0Gemini 2.5 Flash
AIME 2025 (Artificial Analysis run)73.3%14.0%Gemini 2.5 Flash
OTIS Mock AIMENot measured8.1%Only Qwen2.5 72B Instruct measured
MATH level 5Not measured63.2%Only Qwen2.5 72B Instruct measured
LMArena Text: math14111283Gemini 2.5 Flash
LMArena Text: mathematical work14221290Gemini 2.5 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Gemini 2.5 Flash and Qwen2.5 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 72B InstructLeader
MedCode (Vals AI)40.4%Not measuredOnly Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)83.2%72.0%Gemini 2.5 Flash
MMLUNot measured85.3%Only Qwen2.5 72B Instruct measured
AI2 Reasoning ChallengeNot measured94.5%Only Qwen2.5 72B Instruct measured
LMArena Text: science14331275Gemini 2.5 Flash
LMArena Text: medicine and healthcare14281258Gemini 2.5 Flash
LMArena Text: legal and government14301288Gemini 2.5 Flash
LMArena Text: business and finance14041253Gemini 2.5 Flash
FACTS Benchmark Suite47.2%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 9 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 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 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 index190
General benchmarks for Gemini 2.5 Flash and Qwen2.5 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 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%36.9%Gemini 2.5 Flash
Long context reasoning (AA-LCR)65.3%Not measuredOnly Gemini 2.5 Flash measured
DTBench76.5%62.9%Gemini 2.5 Flash
LMCA27.5%13.4%Gemini 2.5 Flash
HellaSwagNot measured84.8%Only Qwen2.5 72B Instruct measured
WinoGrandeNot measured82.3%Only Qwen2.5 72B Instruct measured
PIQANot measured82.6%Only Qwen2.5 72B Instruct measured
LMArena Text14171269Gemini 2.5 Flash
LMArena Text: instruction following14051254Gemini 2.5 Flash
LMArena Text: creative writing14001221Gemini 2.5 Flash
LMArena Vision1235Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: English14181283Gemini 2.5 Flash
LMArena Text: non-English14091252Gemini 2.5 Flash
LMArena Text: Chinese14491273Gemini 2.5 Flash
LMArena Text: German14171234Gemini 2.5 Flash
LMArena Text: Japanese13961180Gemini 2.5 Flash
LMArena Text: Korean13851188Gemini 2.5 Flash
LMArena Text: French14321280Gemini 2.5 Flash
LMArena Text: Spanish14221255Gemini 2.5 Flash
LMArena Text: Russian14151264Gemini 2.5 Flash
LMArena Text: Polish1413Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: multi-turn14081272Gemini 2.5 Flash
LMArena Text: longer queries14191281Gemini 2.5 Flash
LMArena Text: writing and language14051247Gemini 2.5 Flash
LMArena Text: entertainment and media13931211Gemini 2.5 Flash
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 12 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 72B Instruct
BenchmarkGemini 2.5 FlashQwen2.5 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 72B Instruct$0.0006Fits in one request

Qwen2.5 72B Instruct costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash$0.022Fits in one request
Qwen2.5 72B Instruct$0.019Exceeds the context window

Qwen2.5 72B Instruct costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash$0.085Fits in one request
Qwen2.5 72B Instruct$0.076Exceeds the context window

Qwen2.5 72B Instruct 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 72B Instruct
SpecificationGoogle Gemini 2.5 FlashQwen2.5 72B Instruct
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025September 19, 2024
Context window1.05M33K
Input $/Mtok$0.30$0.36
Output $/Mtok$2.50$0.40
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 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 33K tokens) and work measured by τ²-Bench Telecom, where it leads.

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

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Qwen2.5 72B Instruct costs $0.36 and $0.40. 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 72B Instruct?

Gemini 2.5 Flash, with 1.05M tokens against 33K.

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

41 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 72B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next