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DeepSeek V3.1 Terminus vs GLM 4.7 Flash

GLM 4.7 Flash leads DeepSeek V3.1 Terminus on the Artificial Analysis Intelligence Index, 14.9 to 14.8, and GLM 4.7 Flash costs 2.5x less per output token ($0.40 vs $1.0142 per million). Updated October 21, 2026; 34 benchmarks have a result for both.

Replace DeepSeek V3.1 Terminus Replace GLM 4.7 Flash
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
27
GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
7
vs boards won of 34 shared

DeepSeek V3.1 Terminus or GLM 4.7 Flash: which to pick

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

Pick DeepSeek V3.1 Terminus for work measured by AA Intelligence Index or τ²-Bench Telecom, where it leads.

Model ADeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
34
DeepSeek V3.1 Terminus only
11
GLM 4.7 Flash only
9
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
DeepSeek V3.1 Terminus not benchmarked, GLM 4.7 Flash not benchmarked.
Widest category
Agentic work, 61.7 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: DeepSeek V3.1 Terminus 37.1% against GLM 4.7 Flash 98.8%, 61.7 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against GLM 4.7 Flash $0.40 per million output tokens, 2.5x apart.
Context window
DeepSeek V3.1 Terminus takes 164K tokens, GLM 4.7 Flash 200K.

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
CategoryDeepSeek V3.1 TerminusBarsGLM 4.7 FlashTies
Coding30
Intelligence01
Agentic work01
Reasoning40
Math10
Knowledge40
Web design34
General121
All shared boards277
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for DeepSeek V3.1 Terminus and GLM 4.7 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 4.7 FlashLeader
AA Coding Index43.5Not measuredOnly DeepSeek V3.1 Terminus measured
LiveCodeBench (Artificial Analysis run)79.8%Not measuredOnly DeepSeek V3.1 Terminus measured
SciCode38.0%Not measuredOnly DeepSeek V3.1 Terminus measured
Terminal-Bench Hard (Artificial Analysis run)31.8%22.0%DeepSeek V3.1 Terminus
ALE-Bench745.2Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: coding14251382DeepSeek V3.1 Terminus
LMArena Text: software and IT14261389DeepSeek V3.1 Terminus
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for DeepSeek V3.1 Terminus and GLM 4.7 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 4.7 FlashLeader
AA Intelligence Index14.814.9GLM 4.7 Flash
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for DeepSeek V3.1 Terminus and GLM 4.7 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 4.7 FlashLeader
AA Agentic Index6.8Not measuredOnly DeepSeek V3.1 Terminus measured
τ²-Bench Telecom37.1%98.8%GLM 4.7 Flash
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for DeepSeek V3.1 Terminus and GLM 4.7 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 4.7 FlashLeader
GPQA Diamond (Artificial Analysis run)79.2%58.1%DeepSeek V3.1 Terminus
Humanity's Last Exam (Artificial Analysis run)16.4%7.6%DeepSeek V3.1 Terminus
GPQA Diamond (Epoch AI run)Not measured60.5%Only GLM 4.7 Flash measured
LMArena Text: hard prompts14261356DeepSeek V3.1 Terminus
LMArena Text: expertNot measured1357Only GLM 4.7 Flash measured
LMArena Text: hard prompts in English14321369DeepSeek V3.1 Terminus
Kagi LLM Benchmark57.4%Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for DeepSeek V3.1 Terminus and GLM 4.7 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 4.7 FlashLeader
AA Math Index89.7Not measuredOnly DeepSeek V3.1 Terminus measured
AIME 2025 (Artificial Analysis run)89.7%Not measuredOnly DeepSeek V3.1 Terminus measured
OTIS Mock AIMENot measured58.3%Only GLM 4.7 Flash measured
LMArena Text: math14021355DeepSeek V3.1 Terminus
LMArena Text: mathematical workNot measured1369Only GLM 4.7 Flash measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V3.1 Terminus and GLM 4.7 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 4.7 FlashLeader
MMLU Pro (Artificial Analysis run)85.1%Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: science14511358DeepSeek V3.1 Terminus
LMArena Text: medicine and healthcare14681343DeepSeek V3.1 Terminus
LMArena Text: legal and government14571357DeepSeek V3.1 Terminus
LMArena Text: business and finance14141343DeepSeek V3.1 Terminus
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index34
Web design benchmarks for DeepSeek V3.1 Terminus and GLM 4.7 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 4.7 FlashLeader
Design Arena: websites11871194GLM 4.7 Flash
Design Arena: UI components11821208GLM 4.7 Flash
Design Arena: game dev11311135GLM 4.7 Flash
Design Arena: data viz11671123DeepSeek V3.1 Terminus
Design Arena: 3D11411121DeepSeek V3.1 Terminus
Design Arena: all code categories11751178GLM 4.7 Flash
Design Arena: SVG10651038DeepSeek V3.1 Terminus
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index121
General benchmarks for DeepSeek V3.1 Terminus and GLM 4.7 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 4.7 FlashLeader
IFBench57.0%60.8%GLM 4.7 Flash
Long context reasoning (AA-LCR)69.3%41.7%DeepSeek V3.1 Terminus
DTBench81.3%Not measuredOnly DeepSeek V3.1 Terminus measured
LMCA28.6%Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text14191351DeepSeek V3.1 Terminus
LMArena Text: instruction following14041327DeepSeek V3.1 Terminus
LMArena Text: creative writing14031296DeepSeek V3.1 Terminus
LMArena Text: English14291373DeepSeek V3.1 Terminus
LMArena Text: non-English14081330DeepSeek V3.1 Terminus
LMArena Text: ChineseNot measured1403Only GLM 4.7 Flash measured
LMArena Text: GermanNot measured1336Only GLM 4.7 Flash measured
LMArena Text: KoreanNot measured1283Only GLM 4.7 Flash measured
LMArena Text: FrenchNot measured1332Only GLM 4.7 Flash measured
LMArena Text: SpanishNot measured1350Only GLM 4.7 Flash measured
LMArena Text: Russian14351333DeepSeek V3.1 Terminus
LMArena Text: Polish14271291DeepSeek V3.1 Terminus
LMArena Text: multi-turn14111342DeepSeek V3.1 Terminus
LMArena Text: longer queries14221345DeepSeek V3.1 Terminus
LMArena Text: writing and language14091320DeepSeek V3.1 Terminus
LMArena Text: entertainment and media13911304DeepSeek V3.1 Terminus
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.1 Terminus and GLM 4.7 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 4.7 FlashLeader
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

DeepSeek V3.1 Terminus$0.0008Fits in one request
GLM 4.7 Flash$0.0003Fits in one request

GLM 4.7 Flash costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.1 Terminus$0.018Fits in one request
GLM 4.7 Flash$0.0045Fits in one request

GLM 4.7 Flash costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.1 Terminus$0.071Exceeds the context window
GLM 4.7 Flash$0.017Exceeds the context window

GLM 4.7 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 DeepSeek V3.1 Terminus and GLM 4.7 Flash
SpecificationDeepSeek V3.1 TerminusZ.ai GLM 4.7 Flash
MakerDeepSeekZ.ai
WeightsOpen weightsOpen weights
ReleasedSeptember 22, 2025January 19, 2026
Context window164K200K
Input $/Mtok$0.3063$0.0653
Output $/Mtok$1.0142$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 Terminus better than GLM 4.7 Flash for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3.1 Terminus for work measured by AA Intelligence Index or τ²-Bench Telecom, where it leads.

Which is cheaper, DeepSeek V3.1 Terminus or GLM 4.7 Flash?

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 per million output tokens; GLM 4.7 Flash costs $0.0653 and $0.40. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V3.1 Terminus or GLM 4.7 Flash?

GLM 4.7 Flash, with 200K tokens against 164K.

How many benchmarks is the DeepSeek V3.1 Terminus vs GLM 4.7 Flash comparison based on?

34 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.1 Terminus's coding index rests on 0 independent benchmarks and GLM 4.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

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