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DeepSeek V3.1 Terminus vs GLM 5.3 Flash

GLM 5.3 Flash leads DeepSeek V3.1 Terminus on the Artificial Analysis Intelligence Index, 41.8 to 14.8, and GLM 5.3 Flash costs 2.0x less per output token ($0.50 vs $1.0142 per million). Updated October 21, 2026; 35 benchmarks have a result for both.

Replace DeepSeek V3.1 Terminus Replace GLM 5.3 Flash
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
1
GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
34
vs boards won of 35 shared

DeepSeek V3.1 Terminus or GLM 5.3 Flash: which to pick

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; DeepSeek V3.1 Terminus has none, so the two cannot be ranked on coding.

Pick DeepSeek V3.1 Terminus for work measured by ALE-Bench, where it leads.

Model ADeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved task
Shared results
35
DeepSeek V3.1 Terminus only
10
GLM 5.3 Flash only
67
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 5.3 Flash 57.7 from 6 benchmarks.
Widest category
Agentic work, 44.1 points apart on average over 1 shared benchmark.
Widest single gap
AA Agentic Index: DeepSeek V3.1 Terminus 6.8 against GLM 5.3 Flash 50.9, 44.1 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against GLM 5.3 Flash $0.50 per million output tokens, 2.0x apart.
Context window
DeepSeek V3.1 Terminus takes 164K tokens, GLM 5.3 Flash 1.05M.

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 5.3 FlashTies
Coding14
Intelligence01
Agentic work01
Reasoning04
Math01
Knowledge04
Web design07
General012
All shared boards134
CodingLike-for-likeSix of these boards feed the Vibe Coding Index14
Coding benchmarks for DeepSeek V3.1 Terminus and GLM 5.3 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 5.3 FlashLeader
LiveBench codingNot measured80.6%Only GLM 5.3 Flash measured
LMArena WebDevNot measured1607Only GLM 5.3 Flash measured
AA Coding Index43.571.5GLM 5.3 Flash
LiveCodeBench (Vals AI)Not measured80.5%Only GLM 5.3 Flash measured
SWE-bench Verified (Vals AI)Not measured92.0%Only GLM 5.3 Flash measured
Terminal-Bench 4 (Vals AI)Not measured37.4%Only GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)Not measured30.8%Only GLM 5.3 Flash measured
Code migration (Vals AI)Not measured20.5%Only GLM 5.3 Flash measured
ProgramBench (Vals AI)Not measured0.0%Only GLM 5.3 Flash measured
IOI (Vals AI)Not measured52.5%Only GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)Not measured62.9%Only GLM 5.3 Flash measured
Vibe Code Bench 1-100 (Vals AI)Not measured16.0%Only GLM 5.3 Flash measured
SkillsBench (Vals AI)Not measured40.2%Only GLM 5.3 Flash measured
CyberBench (Vals AI)Not measured67.9%Only GLM 5.3 Flash measured
LiveCodeBench (Artificial Analysis run)79.8%Not measuredOnly DeepSeek V3.1 Terminus measured
SciCode38.0%51.6%GLM 5.3 Flash
Terminal-Bench Hard (Artificial Analysis run)31.8%Not measuredOnly DeepSeek V3.1 Terminus measured
FrontierCodeNot measured31.8%Only GLM 5.3 Flash measured
FrontierSWENot measured18.1%Only GLM 5.3 Flash measured
ALE-Bench745.2303.6DeepSeek V3.1 Terminus
LMArena Text: coding14251507GLM 5.3 Flash
LMArena Text: software and IT14261500GLM 5.3 Flash
LMArena WebDev: ReactNot measured1624Only GLM 5.3 Flash measured
LMArena WebDev: HTMLNot measured1577Only GLM 5.3 Flash measured
LMArena WebDev: from an imageNot measured1578Only GLM 5.3 Flash measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for DeepSeek V3.1 Terminus and GLM 5.3 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 5.3 FlashLeader
AA Intelligence Index14.841.8GLM 5.3 Flash
Epoch Capabilities IndexNot measured153.1Only GLM 5.3 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for DeepSeek V3.1 Terminus and GLM 5.3 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 5.3 FlashLeader
AA Agentic Index6.850.9GLM 5.3 Flash
LiveBench researchNot measured70.1%Only GLM 5.3 Flash measured
LiveBench browserNot measured84.0%Only GLM 5.3 Flash measured
LiveBench long agenticNot measured28.4%Only GLM 5.3 Flash measured
SREBench (Vals AI)Not measured0.8%Only GLM 5.3 Flash measured
Finance Agent (Vals AI)Not measured57.9%Only GLM 5.3 Flash measured
Tax Agent Bench (Vals AI)Not measured31.6%Only GLM 5.3 Flash measured
Legal Research Bench (Vals AI)Not measured45.2%Only GLM 5.3 Flash measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured10.4%Only GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)Not measured55.9%Only GLM 5.3 Flash measured
Terminal-Bench-Science (Vals AI)Not measured2.9%Only GLM 5.3 Flash measured
τ²-Bench Telecom37.1%Not measuredOnly DeepSeek V3.1 Terminus measured
APEX-AgentsNot measured52.8%Only GLM 5.3 Flash measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for DeepSeek V3.1 Terminus and GLM 5.3 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 5.3 FlashLeader
GPQA DiamondNot measured86.4%Only GLM 5.3 Flash measured
LiveBench reasoningNot measured77.6%Only GLM 5.3 Flash measured
MMMU Pro (Vals AI)Not measured86.0%Only GLM 5.3 Flash measured
GPQA Diamond (Artificial Analysis run)79.2%91.2%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)16.4%39.9%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)Not measured90.2%Only GLM 5.3 Flash measured
ARC-AGINot measured91.0%Only GLM 5.3 Flash measured
ARC-AGI-2Not measured65.8%Only GLM 5.3 Flash measured
Chess puzzlesNot measured21.0%Only GLM 5.3 Flash measured
Mystery game puzzlesNot measured8.0%Only GLM 5.3 Flash measured
LMArena Text: hard prompts14261490GLM 5.3 Flash
LMArena Text: expertNot measured1511Only GLM 5.3 Flash measured
LMArena Text: hard prompts in English14321488GLM 5.3 Flash
LMArena Vision: diagramsNot measured1317Only GLM 5.3 Flash measured
LMArena Vision: homeworkNot measured1318Only GLM 5.3 Flash measured
Kagi LLM Benchmark57.4%Not measuredOnly DeepSeek V3.1 Terminus measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index01
Math benchmarks for DeepSeek V3.1 Terminus and GLM 5.3 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 5.3 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 measured93.9%Only GLM 5.3 Flash measured
FrontierMath, tiers 1 to 3Not measured55.8%Only GLM 5.3 Flash measured
FrontierMath, tier 4Not measured17.1%Only GLM 5.3 Flash measured
ProofBenchNot measured21.0%Only GLM 5.3 Flash measured
LMArena Text: math14021503GLM 5.3 Flash
LMArena Text: mathematical workNot measured1497Only GLM 5.3 Flash measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for DeepSeek V3.1 Terminus and GLM 5.3 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 5.3 FlashLeader
MMLU ProNot measured86.1%Only GLM 5.3 Flash measured
LegalBench (Vals AI)Not measured83.9%Only GLM 5.3 Flash measured
TaxEval (Vals AI)Not measured75.6%Only GLM 5.3 Flash measured
MMLU Pro (Artificial Analysis run)85.1%Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: science14511484GLM 5.3 Flash
LMArena Text: medicine and healthcare14681475GLM 5.3 Flash
LMArena Text: legal and government14571473GLM 5.3 Flash
LMArena Text: business and finance14141460GLM 5.3 Flash
Neither model has a result on the other 10 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for DeepSeek V3.1 Terminus and GLM 5.3 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 5.3 FlashLeader
Design Arena: websites11871272GLM 5.3 Flash
Design Arena: UI components11821316GLM 5.3 Flash
Design Arena: game dev11311278GLM 5.3 Flash
Design Arena: data viz11671261GLM 5.3 Flash
Design Arena: 3D11411316GLM 5.3 Flash
Design Arena: all code categories11751282GLM 5.3 Flash
Design Arena: SVG10651284GLM 5.3 Flash
Design Arena: ASCII artNot measured1268Only GLM 5.3 Flash measured
LiveBench designNot measured77.2%Only GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index012
General benchmarks for DeepSeek V3.1 Terminus and GLM 5.3 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 5.3 FlashLeader
Vals IndexNot measured50.9%Only GLM 5.3 Flash measured
LiveBench data analysisNot measured76.4%Only GLM 5.3 Flash measured
MedScribe (Vals AI)Not measured88.9%Only GLM 5.3 Flash measured
IFBench57.0%Not measuredOnly DeepSeek V3.1 Terminus measured
Long context reasoning (AA-LCR)69.3%80.0%GLM 5.3 Flash
DTBench81.3%Not measuredOnly DeepSeek V3.1 Terminus measured
LMCA28.6%Not measuredOnly DeepSeek V3.1 Terminus measured
Surface Evolver BenchNot measured52.5%Only GLM 5.3 Flash measured
LMArena Text14191471GLM 5.3 Flash
LMArena Text: instruction following14041478GLM 5.3 Flash
LMArena Text: creative writing14031441GLM 5.3 Flash
LMArena VisionNot measured1294Only GLM 5.3 Flash measured
LMArena Text: English14291474GLM 5.3 Flash
LMArena Text: non-English14081462GLM 5.3 Flash
LMArena Text: ChineseNot measured1531Only GLM 5.3 Flash measured
LMArena Text: GermanNot measured1462Only GLM 5.3 Flash measured
LMArena Text: JapaneseNot measured1444Only GLM 5.3 Flash measured
LMArena Text: KoreanNot measured1436Only GLM 5.3 Flash measured
LMArena Text: FrenchNot measured1491Only GLM 5.3 Flash measured
LMArena Text: SpanishNot measured1475Only GLM 5.3 Flash measured
LMArena Text: Russian14351465GLM 5.3 Flash
LMArena Text: Polish14271450GLM 5.3 Flash
LMArena Text: multi-turn14111469GLM 5.3 Flash
LMArena Text: longer queries14221481GLM 5.3 Flash
LMArena Text: writing and language14091455GLM 5.3 Flash
LMArena Text: entertainment and media13911440GLM 5.3 Flash
LMArena Vision: EnglishNot measured1295Only GLM 5.3 Flash measured
LMArena Vision: ChineseNot measured1363Only GLM 5.3 Flash measured
LMArena Vision: reading textNot measured1299Only GLM 5.3 Flash measured
LMArena Vision: humorNot measured1279Only GLM 5.3 Flash measured
LMArena Vision: creative writingNot measured1270Only GLM 5.3 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 DeepSeek V3.1 Terminus and GLM 5.3 Flash
BenchmarkDeepSeek V3.1 TerminusGLM 5.3 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 5.3 Flash$0.0004Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.1 Terminus$0.018Fits in one request
GLM 5.3 Flash$0.0090Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.1 Terminus$0.071Exceeds the context window
GLM 5.3 Flash$0.035Fits in one request

GLM 5.3 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 5.3 Flash
SpecificationDeepSeek V3.1 TerminusZ.ai GLM 5.3 Flash
MakerDeepSeekZ.ai
WeightsOpen weightsOpen weights
ReleasedSeptember 22, 2025August 26, 2026
Context window164K1.05M
Input $/Mtok$0.3063$0.15
Output $/Mtok$1.0142$0.50
Coding indexNot benchmarked57.7
Independent measurements behind it06
Cost per solved taskNot computable$0.02
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 Terminus better than GLM 5.3 Flash for coding?

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; DeepSeek V3.1 Terminus has none, so the two cannot be ranked on coding. Pick DeepSeek V3.1 Terminus for work measured by ALE-Bench, where it leads.

Which is cheaper, DeepSeek V3.1 Terminus or GLM 5.3 Flash?

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 per million output tokens; GLM 5.3 Flash costs $0.15 and $0.50. Cost per solved task is known for GLM 5.3 Flash only.

Which has the bigger context window, DeepSeek V3.1 Terminus or GLM 5.3 Flash?

GLM 5.3 Flash, with 1.05M tokens against 164K.

How many benchmarks is the DeepSeek V3.1 Terminus vs GLM 5.3 Flash comparison based on?

35 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 5.3 Flash's on 6. Where only one model has a result, the page says so instead of naming a winner.

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