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Gemini 2.5 Pro Preview 06-05 vs Qwen3.8 Max (0902)

Qwen3.8 Max (0902) costs 1.7x less per output token than Gemini 2.5 Pro Preview 06-05 ($6.00 vs $10.00 per million). Updated October 22, 2026; 4 benchmarks have a result for both.

Gemini 2.5 Pro Preview 06-05Google
Coding
No data
Overall
No data
Output $/M
$10.00
0
Qwen3.8 Max (0902)Qwen
Coding
62.4
Overall
68.9
Output $/M
$6.00
4
vs boards won of 4 shared

Gemini 2.5 Pro Preview 06-05 or Qwen3.8 Max (0902): which to pick

Only Qwen3.8 Max (0902) has a coding score, 62.4 on the Vibe Coding Index; Gemini 2.5 Pro Preview 06-05 has none, so the two cannot be ranked on coding.

Pick Gemini 2.5 Pro Preview 06-05 for a larger context window (1.05M against 1M tokens).

Shared results
4
Gemini 2.5 Pro Preview 06-05 only
11
Qwen3.8 Max (0902) only
109
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 Pro Preview 06-05 not benchmarked, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
Widest category
Reasoning, 13.4 points apart on average over 3 shared benchmarks.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Gemini 2.5 Pro Preview 06-05 19.9% against Qwen3.8 Max (0902) 43.1%, 23.2 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro Preview 06-05 $10.00 against Qwen3.8 Max (0902) $6.00 per million output tokens, 1.7x apart.
Context window
Gemini 2.5 Pro Preview 06-05 takes 1.05M tokens, Qwen3.8 Max (0902) 1M.

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 Pro Preview 06-05BarsQwen3.8 Max (0902)Ties
Coding01
Reasoning03
All shared boards04
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3.8 Max (0902)
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3.8 Max (0902)Leader
Aider polyglot83.1%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LiveBench codingNot measured60.3%Only Qwen3.8 Max (0902) measured
LMArena WebDevNot measured1674Only Qwen3.8 Max (0902) measured
AA Coding IndexNot measured76.2Only Qwen3.8 Max (0902) measured
LiveCodeBench (Vals AI)79.2%87.8%Qwen3.8 Max (0902)
SWE-bench Verified (Vals AI)Not measured85.6%Only Qwen3.8 Max (0902) measured
Terminal-Bench 4 (Vals AI)Not measured34.3%Only Qwen3.8 Max (0902) measured
Vibe Code Bench (Vals AI)Not measured64.7%Only Qwen3.8 Max (0902) measured
Code migration (Vals AI)Not measured24.0%Only Qwen3.8 Max (0902) measured
ProgramBench (Vals AI)Not measured0.0%Only Qwen3.8 Max (0902) measured
IOI (Vals AI)Not measured68.9%Only Qwen3.8 Max (0902) measured
Terminal-Bench 2.1 (Vals AI)Not measured67.4%Only Qwen3.8 Max (0902) measured
SWE-bench Multimodal (Vals AI)Not measured42.5%Only Qwen3.8 Max (0902) measured
Vibe Code Bench 1-100 (Vals AI)Not measured12.8%Only Qwen3.8 Max (0902) measured
SkillsBench (Vals AI)Not measured42.0%Only Qwen3.8 Max (0902) measured
CyberBench (Vals AI)Not measured28.6%Only Qwen3.8 Max (0902) measured
LiveCodeBench (Artificial Analysis run)77.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SciCodeNot measured53.2%Only Qwen3.8 Max (0902) measured
FrontierSWENot measured17.8%Only Qwen3.8 Max (0902) measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: codingNot measured1502Only Qwen3.8 Max (0902) measured
LMArena Text: software and ITNot measured1498Only Qwen3.8 Max (0902) measured
LMArena WebDev: ReactNot measured1692Only Qwen3.8 Max (0902) measured
LMArena WebDev: HTMLNot measured1649Only Qwen3.8 Max (0902) measured
LMArena WebDev: from an imageNot measured1637Only Qwen3.8 Max (0902) measured
SciCode7.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 13 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3.8 Max (0902)
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3.8 Max (0902)Leader
AA Intelligence IndexNot measured45.4Only Qwen3.8 Max (0902) measured
Epoch Capabilities IndexNot measured157.4Only Qwen3.8 Max (0902) measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
Agentic work benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3.8 Max (0902)
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3.8 Max (0902)Leader
AA Agentic IndexNot measured56.0Only Qwen3.8 Max (0902) measured
Design Arena: agents building web appsNot measured1300Only Qwen3.8 Max (0902) measured
Design Arena: agents building full-stack appsNot measured1305Only Qwen3.8 Max (0902) measured
Design Arena: agents building mobile appsNot measured1224Only Qwen3.8 Max (0902) measured
Design Arena: agents building Android appsNot measured1196Only Qwen3.8 Max (0902) measured
Design Arena: agents building Godot gamesNot measured1234Only Qwen3.8 Max (0902) measured
Design Arena: PowerPoint slidesNot measured1233Only Qwen3.8 Max (0902) measured
Design Arena: spreadsheetsNot measured967Only Qwen3.8 Max (0902) measured
LiveBench researchNot measured69.9%Only Qwen3.8 Max (0902) measured
LiveBench browserNot measured32.0%Only Qwen3.8 Max (0902) measured
LiveBench long agenticNot measured42.3%Only Qwen3.8 Max (0902) measured
Finance Agent (Vals AI)Not measured50.6%Only Qwen3.8 Max (0902) measured
Tax Agent Bench (Vals AI)Not measured32.1%Only Qwen3.8 Max (0902) measured
Legal Research Bench (Vals AI)Not measured47.6%Only Qwen3.8 Max (0902) measured
Excel Modeling Benchmark (Vals AI)Not measured60.1%Only Qwen3.8 Max (0902) measured
Terminal-Bench-Science (Vals AI)Not measured12.9%Only Qwen3.8 Max (0902) measured
APEX-AgentsNot measured63.3%Only Qwen3.8 Max (0902) measured
METR time horizons55.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Remote Labor Index0.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
DeepResearch Bench42.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena SearchNot measured1261Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3.8 Max (0902)
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3.8 Max (0902)Leader
GPQA DiamondNot measured93.7%Only Qwen3.8 Max (0902) measured
LiveBench reasoningNot measured88.2%Only Qwen3.8 Max (0902) measured
MysteryMechanism (Vals AI)Not measured23.9%Only Qwen3.8 Max (0902) measured
MMMU Pro (Vals AI)Not measured88.0%Only Qwen3.8 Max (0902) measured
GPQA Diamond (Artificial Analysis run)83.6%92.8%Qwen3.8 Max (0902)
Humanity's Last Exam (Artificial Analysis run)19.9%43.1%Qwen3.8 Max (0902)
GPQA Diamond (Epoch AI run)84.8%92.7%Qwen3.8 Max (0902)
SimpleBench62.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Chess puzzlesNot measured46.0%Only Qwen3.8 Max (0902) measured
Mystery game puzzlesNot measured38.0%Only Qwen3.8 Max (0902) measured
VPCT46.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: hard promptsNot measured1496Only Qwen3.8 Max (0902) measured
LMArena Text: expertNot measured1507Only Qwen3.8 Max (0902) measured
LMArena Text: hard prompts in EnglishNot measured1503Only Qwen3.8 Max (0902) measured
LMArena Vision: diagramsNot measured1323Only Qwen3.8 Max (0902) measured
LMArena Vision: homeworkNot measured1336Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 6 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3.8 Max (0902)
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3.8 Max (0902)Leader
OTIS Mock AIMENot measured100.0%Only Qwen3.8 Max (0902) measured
FrontierMath, tiers 1 to 3Not measured74.7%Only Qwen3.8 Max (0902) measured
FrontierMath, tier 4Not measured46.3%Only Qwen3.8 Max (0902) measured
ProofBenchNot measured58.0%Only Qwen3.8 Max (0902) measured
LMArena Text: mathNot measured1501Only Qwen3.8 Max (0902) measured
LMArena Text: mathematical workNot measured1491Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Knowledge benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3.8 Max (0902)
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3.8 Max (0902)Leader
MMLU ProNot measured88.6%Only Qwen3.8 Max (0902) measured
LegalBench (Vals AI)Not measured83.6%Only Qwen3.8 Max (0902) measured
CorpFin (Vals AI)Not measured65.8%Only Qwen3.8 Max (0902) measured
TaxEval (Vals AI)Not measured75.5%Only Qwen3.8 Max (0902) measured
MortgageTax (Vals AI)Not measured64.0%Only Qwen3.8 Max (0902) measured
MedCode (Vals AI)Not measured40.7%Only Qwen3.8 Max (0902) measured
MMLU Pro (Artificial Analysis run)85.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SimpleQA VerifiedNot measured47.3%Only Qwen3.8 Max (0902) measured
LMArena Text: scienceNot measured1512Only Qwen3.8 Max (0902) measured
LMArena Text: medicine and healthcareNot measured1503Only Qwen3.8 Max (0902) measured
LMArena Text: legal and governmentNot measured1492Only Qwen3.8 Max (0902) measured
LMArena Text: business and financeNot measured1480Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3.8 Max (0902)
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3.8 Max (0902)Leader
Design Arena: websitesNot measured1275Only Qwen3.8 Max (0902) measured
Design Arena: UI componentsNot measured1338Only Qwen3.8 Max (0902) measured
Design Arena: game devNot measured1312Only Qwen3.8 Max (0902) measured
Design Arena: data vizNot measured1281Only Qwen3.8 Max (0902) measured
Design Arena: 3DNot measured1336Only Qwen3.8 Max (0902) measured
Design Arena: all code categoriesNot measured1293Only Qwen3.8 Max (0902) measured
Design Arena: ASCII artNot measured1200Only Qwen3.8 Max (0902) measured
LiveBench designNot measured78.6%Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index33 boards, none shared
General benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3.8 Max (0902)
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3.8 Max (0902)Leader
LiveBench data analysisNot measured78.4%Only Qwen3.8 Max (0902) measured
Public Benefits Bench (Vals AI)Not measured67.1%Only Qwen3.8 Max (0902) measured
SAGE (Vals AI)Not measured51.2%Only Qwen3.8 Max (0902) measured
MedScribe (Vals AI)Not measured85.0%Only Qwen3.8 Max (0902) measured
Vals Multimodal IndexNot measured65.4%Only Qwen3.8 Max (0902) measured
Long context reasoning (AA-LCR)Not measured80.3%Only Qwen3.8 Max (0902) measured
DTBenchNot measured92.0%Only Qwen3.8 Max (0902) measured
LMCANot measured46.2%Only Qwen3.8 Max (0902) measured
Fiction.LiveBench91.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Furniture assemblyNot measured20.0%Only Qwen3.8 Max (0902) measured
LMArena TextNot measured1483Only Qwen3.8 Max (0902) measured
LMArena Text: instruction followingNot measured1481Only Qwen3.8 Max (0902) measured
LMArena Text: creative writingNot measured1477Only Qwen3.8 Max (0902) measured
LMArena VisionNot measured1313Only Qwen3.8 Max (0902) measured
LMArena Text: EnglishNot measured1491Only Qwen3.8 Max (0902) measured
LMArena Text: non-EnglishNot measured1473Only Qwen3.8 Max (0902) measured
LMArena Text: ChineseNot measured1539Only Qwen3.8 Max (0902) measured
LMArena Text: GermanNot measured1478Only Qwen3.8 Max (0902) measured
LMArena Text: JapaneseNot measured1473Only Qwen3.8 Max (0902) measured
LMArena Text: KoreanNot measured1460Only Qwen3.8 Max (0902) measured
LMArena Text: FrenchNot measured1498Only Qwen3.8 Max (0902) measured
LMArena Text: SpanishNot measured1489Only Qwen3.8 Max (0902) measured
LMArena Text: RussianNot measured1482Only Qwen3.8 Max (0902) measured
LMArena Text: PolishNot measured1471Only Qwen3.8 Max (0902) measured
LMArena Text: multi-turnNot measured1489Only Qwen3.8 Max (0902) measured
LMArena Text: longer queriesNot measured1488Only Qwen3.8 Max (0902) measured
LMArena Text: writing and languageNot measured1477Only Qwen3.8 Max (0902) measured
LMArena Text: entertainment and mediaNot measured1464Only Qwen3.8 Max (0902) measured
LMArena Vision: EnglishNot measured1311Only Qwen3.8 Max (0902) measured
LMArena Vision: ChineseNot measured1358Only Qwen3.8 Max (0902) measured
LMArena Vision: reading textNot measured1322Only Qwen3.8 Max (0902) measured
LMArena Vision: humorNot measured1304Only Qwen3.8 Max (0902) measured
LMArena Vision: creative writingNot measured1312Only Qwen3.8 Max (0902) measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro Preview 06-05 and Qwen3.8 Max (0902)
BenchmarkGemini 2.5 Pro Preview 06-05Qwen3.8 Max (0902)Leader
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 Pro Preview 06-05$0.0063Fits in one request
Qwen3.8 Max (0902)$0.0050Fits in one request

Qwen3.8 Max (0902) costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro Preview 06-05$0.092Fits in one request
Qwen3.8 Max (0902)$0.118Fits in one request

Gemini 2.5 Pro Preview 06-05 costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro Preview 06-05$0.350Fits in one request
Qwen3.8 Max (0902)$0.460Fits in one request

Gemini 2.5 Pro Preview 06-05 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 Pro Preview 06-05 and Qwen3.8 Max (0902)
SpecificationGoogle Gemini 2.5 Pro Preview 06-05Qwen3.8 Max (0902)
MakerGoogleQwen
WeightsNo public weights listedNo public weights listed
ReleasedJune 5, 2025September 3, 2026
Context window1.05M1M
Input $/Mtok$1.25$2.00
Output $/Mtok$10.00$6.00
Coding indexNot benchmarked62.4
Independent measurements behind it05
Cost per solved taskNot computable$1.32
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro Preview 06-05 better than Qwen3.8 Max (0902) for coding?

Only Qwen3.8 Max (0902) has a coding score, 62.4 on the Vibe Coding Index; Gemini 2.5 Pro Preview 06-05 has none, so the two cannot be ranked on coding. Pick Gemini 2.5 Pro Preview 06-05 for a larger context window (1.05M against 1M tokens).

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or Qwen3.8 Max (0902)?

Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Cost per solved task is known for Qwen3.8 Max (0902) only.

Which has the bigger context window, Gemini 2.5 Pro Preview 06-05 or Qwen3.8 Max (0902)?

Gemini 2.5 Pro Preview 06-05, with 1.05M tokens against 1M.

How many benchmarks is the Gemini 2.5 Pro Preview 06-05 vs Qwen3.8 Max (0902) comparison based on?

4 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro Preview 06-05's coding index rests on 0 independent benchmarks and Qwen3.8 Max (0902)'s on 5. Where only one model has a result, the page says so instead of naming a winner.

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