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Gemini 2.5 Pro Preview 06-05 vs GLM 4.6V

GLM 4.6V costs 11.1x less per output token than Gemini 2.5 Pro Preview 06-05 ($0.90 vs $10.00 per million). Updated October 21, 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
4
GLM 4.6VZ.ai
Coding
No data
Overall
No data
Output $/M
$0.90
0
vs boards won of 4 shared

Gemini 2.5 Pro Preview 06-05 or GLM 4.6V: which to pick

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

Pick Gemini 2.5 Pro Preview 06-05 for a larger context window (1.05M against 131K tokens).

Shared results
4
Gemini 2.5 Pro Preview 06-05 only
11
GLM 4.6V only
34
Like-for-like categories
3 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, GLM 4.6V not benchmarked.
Widest category
Coding, 36.7 points apart on average over 1 shared benchmark.
Widest single gap
LiveCodeBench (Artificial Analysis run): Gemini 2.5 Pro Preview 06-05 77.8% against GLM 4.6V 41.1%, 36.7 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro Preview 06-05 $10.00 against GLM 4.6V $0.90 per million output tokens, 11.1x apart.
Context window
Gemini 2.5 Pro Preview 06-05 takes 1.05M tokens, GLM 4.6V 131K.

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 06-05BarsGLM 4.6VTies
Coding10
Reasoning20
Knowledge10
All shared boards40
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Gemini 2.5 Pro Preview 06-05 and GLM 4.6V
BenchmarkGemini 2.5 Pro Preview 06-05GLM 4.6VLeader
Aider polyglot83.1%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LiveCodeBench (Vals AI)79.2%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LiveCodeBench (Artificial Analysis run)77.8%41.1%Gemini 2.5 Pro Preview 06-05
Terminal-Bench Hard (Artificial Analysis run)Not measured14.4%Only GLM 4.6V measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: codingNot measured1389Only GLM 4.6V measured
LMArena Text: software and ITNot measured1391Only GLM 4.6V measured
SciCode7.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 31 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Gemini 2.5 Pro Preview 06-05 and GLM 4.6V
BenchmarkGemini 2.5 Pro Preview 06-05GLM 4.6VLeader
AA Intelligence IndexNot measured11.2Only GLM 4.6V measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for Gemini 2.5 Pro Preview 06-05 and GLM 4.6V
BenchmarkGemini 2.5 Pro Preview 06-05GLM 4.6VLeader
τ²-Bench TelecomNot measured31.6%Only GLM 4.6V 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
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Gemini 2.5 Pro Preview 06-05 and GLM 4.6V
BenchmarkGemini 2.5 Pro Preview 06-05GLM 4.6VLeader
GPQA Diamond (Artificial Analysis run)83.6%71.9%Gemini 2.5 Pro Preview 06-05
Humanity's Last Exam (Artificial Analysis run)19.9%9.6%Gemini 2.5 Pro Preview 06-05
GPQA Diamond (Epoch AI run)84.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SimpleBench62.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
VPCT46.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: hard promptsNot measured1367Only GLM 4.6V measured
LMArena Text: expertNot measured1371Only GLM 4.6V measured
LMArena Text: hard prompts in EnglishNot measured1391Only GLM 4.6V measured
LMArena Vision: diagramsNot measured1182Only GLM 4.6V measured
LMArena Vision: homeworkNot measured1155Only GLM 4.6V measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Gemini 2.5 Pro Preview 06-05 and GLM 4.6V
BenchmarkGemini 2.5 Pro Preview 06-05GLM 4.6VLeader
AA Math IndexNot measured85.3Only GLM 4.6V measured
AIME 2025 (Artificial Analysis run)Not measured85.3%Only GLM 4.6V measured
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Gemini 2.5 Pro Preview 06-05 and GLM 4.6V
BenchmarkGemini 2.5 Pro Preview 06-05GLM 4.6VLeader
MMLU Pro (Artificial Analysis run)85.8%79.9%Gemini 2.5 Pro Preview 06-05
LMArena Text: scienceNot measured1389Only GLM 4.6V measured
LMArena Text: medicine and healthcareNot measured1389Only GLM 4.6V measured
LMArena Text: legal and governmentNot measured1393Only GLM 4.6V measured
LMArena Text: business and financeNot measured1359Only GLM 4.6V measured
Neither model has a result on the other 13 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemini 2.5 Pro Preview 06-05 and GLM 4.6V
BenchmarkGemini 2.5 Pro Preview 06-05GLM 4.6VLeader
Neither model has a result on 9 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index19 boards, none shared
General benchmarks for Gemini 2.5 Pro Preview 06-05 and GLM 4.6V
BenchmarkGemini 2.5 Pro Preview 06-05GLM 4.6VLeader
IFBenchNot measured30.1%Only GLM 4.6V measured
Long context reasoning (AA-LCR)Not measured48.7%Only GLM 4.6V measured
Fiction.LiveBench91.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena TextNot measured1376Only GLM 4.6V measured
LMArena Text: instruction followingNot measured1350Only GLM 4.6V measured
LMArena Text: creative writingNot measured1347Only GLM 4.6V measured
LMArena VisionNot measured1164Only GLM 4.6V measured
LMArena Text: EnglishNot measured1395Only GLM 4.6V measured
LMArena Text: non-EnglishNot measured1358Only GLM 4.6V measured
LMArena Text: ChineseNot measured1425Only GLM 4.6V measured
LMArena Text: RussianNot measured1339Only GLM 4.6V measured
LMArena Text: multi-turnNot measured1359Only GLM 4.6V measured
LMArena Text: longer queriesNot measured1357Only GLM 4.6V measured
LMArena Text: writing and languageNot measured1347Only GLM 4.6V measured
LMArena Text: entertainment and mediaNot measured1343Only GLM 4.6V measured
LMArena Vision: EnglishNot measured1179Only GLM 4.6V measured
LMArena Vision: ChineseNot measured1217Only GLM 4.6V measured
LMArena Vision: reading textNot measured1171Only GLM 4.6V measured
LMArena Vision: creative writingNot measured1113Only GLM 4.6V measured
Neither model has a result on the other 27 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 GLM 4.6V
BenchmarkGemini 2.5 Pro Preview 06-05GLM 4.6VLeader
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
GLM 4.6V$0.0008Fits in one request

GLM 4.6V costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro Preview 06-05$0.092Fits in one request
GLM 4.6V$0.018Fits in one request

GLM 4.6V costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro Preview 06-05$0.350Fits in one request
GLM 4.6V$0.069Exceeds the context window

GLM 4.6V 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 GLM 4.6V
SpecificationGoogle Gemini 2.5 Pro Preview 06-05Z.ai GLM 4.6V
MakerGoogleZ.ai
WeightsNo public weights listedOpen weights
ReleasedJune 5, 2025December 8, 2025
Context window1.05M131K
Input $/Mtok$1.25$0.30
Output $/Mtok$10.00$0.90
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro Preview 06-05 better than GLM 4.6V for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Pro Preview 06-05 for a larger context window (1.05M against 131K tokens).

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or GLM 4.6V?

Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10.00 per million output tokens; GLM 4.6V costs $0.30 and $0.90. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 2.5 Pro Preview 06-05 or GLM 4.6V?

Gemini 2.5 Pro Preview 06-05, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 2.5 Pro Preview 06-05 vs GLM 4.6V comparison based on?

4 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro Preview 06-05's coding index rests on 0 independent benchmarks and GLM 4.6V's on 0. Where only one model has a result, the page says so instead of naming a winner.

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