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DeepSeek V3.1 Terminus vs Gemini 3.7 Flash

Gemini 3.7 Flash leads DeepSeek V3.1 Terminus on the Artificial Analysis Intelligence Index, 39.6 to 14.8, and DeepSeek V3.1 Terminus costs 3.7x less per output token ($1.0142 vs $3.75 per million). Updated October 21, 2026; 36 benchmarks have a result for both.

Replace DeepSeek V3.1 Terminus Replace Gemini 3.7 Flash
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
0
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
36
vs boards won of 36 shared

DeepSeek V3.1 Terminus or Gemini 3.7 Flash: which to pick

Only Gemini 3.7 Flash has a coding score, 58.0 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 output tokens 3.7x cheaper ($1.0142 vs $3.75 per million).

Model ADeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved task
Shared results
36
DeepSeek V3.1 Terminus only
9
Gemini 3.7 Flash only
78
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
DeepSeek V3.1 Terminus not benchmarked, Gemini 3.7 Flash 58.0 from 6 benchmarks.
Widest category
Intelligence, 24.8 points apart on average over 1 shared benchmark.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): DeepSeek V3.1 Terminus 16.4% against Gemini 3.7 Flash 47.9%, 31.5 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against Gemini 3.7 Flash $3.75 per million output tokens, 3.7x apart.
Context window
DeepSeek V3.1 Terminus takes 164K tokens, Gemini 3.7 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 TerminusBarsGemini 3.7 FlashTies
Coding05
Intelligence01
Reasoning04
Math01
Knowledge04
Web design07
General014
All shared boards036
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for DeepSeek V3.1 Terminus and Gemini 3.7 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 3.7 FlashLeader
LiveBench codingNot measured80.5%Only Gemini 3.7 Flash measured
LMArena WebDevNot measured1591Only Gemini 3.7 Flash measured
AA Coding Index43.571.5Gemini 3.7 Flash
LiveCodeBench (Vals AI)Not measured88.7%Only Gemini 3.7 Flash measured
SWE-bench Verified (Vals AI)Not measured80.8%Only Gemini 3.7 Flash measured
Terminal-Bench 4 (Vals AI)Not measured12.1%Only Gemini 3.7 Flash measured
Vibe Code Bench (Vals AI)Not measured70.4%Only Gemini 3.7 Flash measured
Code migration (Vals AI)Not measured34.8%Only Gemini 3.7 Flash measured
ProgramBench (Vals AI)Not measured0.0%Only Gemini 3.7 Flash measured
IOI (Vals AI)Not measured67.8%Only Gemini 3.7 Flash measured
Terminal-Bench 2.1 (Vals AI)Not measured77.5%Only Gemini 3.7 Flash measured
SkillsBench (Vals AI)Not measured65.9%Only Gemini 3.7 Flash measured
CyberBench (Vals AI)Not measured43.8%Only Gemini 3.7 Flash measured
LiveCodeBench (Artificial Analysis run)79.8%Not measuredOnly DeepSeek V3.1 Terminus measured
SciCode38.0%59.8%Gemini 3.7 Flash
Terminal-Bench Hard (Artificial Analysis run)31.8%Not measuredOnly DeepSeek V3.1 Terminus measured
FrontierCodeNot measured43.6%Only Gemini 3.7 Flash measured
FrontierSWENot measured20.3%Only Gemini 3.7 Flash measured
ALE-Bench745.2904.3Gemini 3.7 Flash
LMArena Text: coding14251499Gemini 3.7 Flash
LMArena Text: software and IT14261498Gemini 3.7 Flash
LMArena WebDev: ReactNot measured1587Only Gemini 3.7 Flash measured
LMArena WebDev: HTMLNot measured1593Only Gemini 3.7 Flash measured
LMArena WebDev: from an imageNot measured1599Only Gemini 3.7 Flash measured
SciCodeNot measured13.8%Only Gemini 3.7 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 Gemini 3.7 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 3.7 FlashLeader
AA Intelligence Index14.839.6Gemini 3.7 Flash
Epoch Capabilities IndexNot measured158.0Only Gemini 3.7 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
Agentic work benchmarks for DeepSeek V3.1 Terminus and Gemini 3.7 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 3.7 FlashLeader
AA Agentic Index6.8Not measuredOnly DeepSeek V3.1 Terminus measured
Design Arena: agents building web appsNot measured1223Only Gemini 3.7 Flash measured
Design Arena: agents building full-stack appsNot measured1208Only Gemini 3.7 Flash measured
Design Arena: agents building mobile appsNot measured1230Only Gemini 3.7 Flash measured
Design Arena: agents building Android appsNot measured1242Only Gemini 3.7 Flash measured
Design Arena: agents building Godot gamesNot measured1264Only Gemini 3.7 Flash measured
Design Arena: agents building gamesNot measured1235Only Gemini 3.7 Flash measured
Design Arena: spreadsheetsNot measured1053Only Gemini 3.7 Flash measured
LiveBench researchNot measured76.5%Only Gemini 3.7 Flash measured
LiveBench browserNot measured56.0%Only Gemini 3.7 Flash measured
LiveBench long agenticNot measured28.3%Only Gemini 3.7 Flash measured
SREBench (Vals AI)Not measured4.6%Only Gemini 3.7 Flash measured
Finance Agent (Vals AI)Not measured59.0%Only Gemini 3.7 Flash measured
Tax Agent Bench (Vals AI)Not measured22.8%Only Gemini 3.7 Flash measured
Legal Research Bench (Vals AI)Not measured34.6%Only Gemini 3.7 Flash measured
Excel Modeling Benchmark (Vals AI)Not measured71.3%Only Gemini 3.7 Flash measured
Terminal-Bench-Science (Vals AI)Not measured7.1%Only Gemini 3.7 Flash measured
τ²-Bench Telecom37.1%Not measuredOnly DeepSeek V3.1 Terminus measured
APEX-AgentsNot measured67.8%Only Gemini 3.7 Flash measured
Remote Labor IndexNot measured5.0%Only Gemini 3.7 Flash measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for DeepSeek V3.1 Terminus and Gemini 3.7 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 3.7 FlashLeader
GPQA DiamondNot measured93.9%Only Gemini 3.7 Flash measured
LiveBench reasoningNot measured87.8%Only Gemini 3.7 Flash measured
MMMU Pro (Vals AI)Not measured89.0%Only Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)79.2%94.5%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)16.4%47.9%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)Not measured94.8%Only Gemini 3.7 Flash measured
ARC-AGINot measured95.5%Only Gemini 3.7 Flash measured
ARC-AGI-2Not measured84.6%Only Gemini 3.7 Flash measured
Chess puzzlesNot measured66.0%Only Gemini 3.7 Flash measured
Mystery game puzzlesNot measured37.0%Only Gemini 3.7 Flash measured
LMArena Text: hard prompts14261495Gemini 3.7 Flash
LMArena Text: expertNot measured1512Only Gemini 3.7 Flash measured
LMArena Text: hard prompts in English14321487Gemini 3.7 Flash
LMArena Vision: diagramsNot measured1329Only Gemini 3.7 Flash measured
LMArena Vision: homeworkNot measured1320Only Gemini 3.7 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 Gemini 3.7 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 3.7 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 measured97.2%Only Gemini 3.7 Flash measured
FrontierMath, tiers 1 to 3Not measured71.6%Only Gemini 3.7 Flash measured
FrontierMath, tier 4Not measured36.6%Only Gemini 3.7 Flash measured
ProofBenchNot measured58.0%Only Gemini 3.7 Flash measured
LMArena Text: math14021511Gemini 3.7 Flash
LMArena Text: mathematical workNot measured1502Only Gemini 3.7 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 Gemini 3.7 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 3.7 FlashLeader
MMLU ProNot measured90.1%Only Gemini 3.7 Flash measured
LegalBench (Vals AI)Not measured87.3%Only Gemini 3.7 Flash measured
TaxEval (Vals AI)Not measured74.7%Only Gemini 3.7 Flash measured
MortgageTax (Vals AI)Not measured66.7%Only Gemini 3.7 Flash measured
MedCode (Vals AI)Not measured53.4%Only Gemini 3.7 Flash measured
MMLU Pro (Artificial Analysis run)85.1%Not measuredOnly DeepSeek V3.1 Terminus measured
SimpleQA VerifiedNot measured69.2%Only Gemini 3.7 Flash measured
LMArena Text: science14511511Gemini 3.7 Flash
LMArena Text: medicine and healthcare14681494Gemini 3.7 Flash
LMArena Text: legal and government14571496Gemini 3.7 Flash
LMArena Text: business and finance14141479Gemini 3.7 Flash
FACTS Benchmark SuiteNot measured71.2%Only Gemini 3.7 Flash measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for DeepSeek V3.1 Terminus and Gemini 3.7 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 3.7 FlashLeader
Design Arena: websites11871304Gemini 3.7 Flash
Design Arena: UI components11821299Gemini 3.7 Flash
Design Arena: game dev11311318Gemini 3.7 Flash
Design Arena: data viz11671315Gemini 3.7 Flash
Design Arena: 3D11411308Gemini 3.7 Flash
Design Arena: all code categories11751308Gemini 3.7 Flash
Design Arena: SVG10651283Gemini 3.7 Flash
Design Arena: ASCII artNot measured1276Only Gemini 3.7 Flash measured
LiveBench designNot measured73.2%Only Gemini 3.7 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
General benchmarks for DeepSeek V3.1 Terminus and Gemini 3.7 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 3.7 FlashLeader
LiveBench data analysisNot measured68.0%Only Gemini 3.7 Flash measured
SAGE (Vals AI)Not measured49.2%Only Gemini 3.7 Flash measured
MedScribe (Vals AI)Not measured83.9%Only Gemini 3.7 Flash measured
IFBench57.0%Not measuredOnly DeepSeek V3.1 Terminus measured
Long context reasoning (AA-LCR)69.3%83.0%Gemini 3.7 Flash
DTBench81.3%96.8%Gemini 3.7 Flash
LMCA28.6%50.4%Gemini 3.7 Flash
Furniture assemblyNot measured26.7%Only Gemini 3.7 Flash measured
LMArena Text14191489Gemini 3.7 Flash
LMArena Text: instruction following14041484Gemini 3.7 Flash
LMArena Text: creative writing14031488Gemini 3.7 Flash
LMArena VisionNot measured1314Only Gemini 3.7 Flash measured
LMArena Text: English14291483Gemini 3.7 Flash
LMArena Text: non-English14081487Gemini 3.7 Flash
LMArena Text: ChineseNot measured1552Only Gemini 3.7 Flash measured
LMArena Text: GermanNot measured1506Only Gemini 3.7 Flash measured
LMArena Text: JapaneseNot measured1511Only Gemini 3.7 Flash measured
LMArena Text: KoreanNot measured1481Only Gemini 3.7 Flash measured
LMArena Text: FrenchNot measured1500Only Gemini 3.7 Flash measured
LMArena Text: SpanishNot measured1495Only Gemini 3.7 Flash measured
LMArena Text: Russian14351515Gemini 3.7 Flash
LMArena Text: Polish14271503Gemini 3.7 Flash
LMArena Text: multi-turn14111485Gemini 3.7 Flash
LMArena Text: longer queries14221492Gemini 3.7 Flash
LMArena Text: writing and language14091491Gemini 3.7 Flash
LMArena Text: entertainment and media13911477Gemini 3.7 Flash
LMArena Vision: EnglishNot measured1309Only Gemini 3.7 Flash measured
LMArena Vision: ChineseNot measured1394Only Gemini 3.7 Flash measured
LMArena Vision: reading textNot measured1322Only Gemini 3.7 Flash measured
LMArena Vision: humorNot measured1299Only Gemini 3.7 Flash measured
LMArena Vision: creative writingNot measured1312Only Gemini 3.7 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 Gemini 3.7 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 3.7 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
Gemini 3.7 Flash$0.0026Fits in one request

DeepSeek V3.1 Terminus costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.1 Terminus$0.018Fits in one request
Gemini 3.7 Flash$0.049Fits in one request

DeepSeek V3.1 Terminus costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.1 Terminus$0.071Exceeds the context window
Gemini 3.7 Flash$0.188Fits in one request

DeepSeek V3.1 Terminus 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 Gemini 3.7 Flash
SpecificationDeepSeek V3.1 TerminusGoogle Gemini 3.7 Flash
MakerDeepSeekGoogle
WeightsOpen weightsNo public weights listed
ReleasedSeptember 22, 2025August 13, 2026
Context window164K1.05M
Input $/Mtok$0.3063$0.75
Output $/Mtok$1.0142$3.75
Coding indexNot benchmarked58.0
Independent measurements behind it06
Cost per solved taskNot computable$1.78
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 Terminus better than Gemini 3.7 Flash for coding?

Only Gemini 3.7 Flash has a coding score, 58.0 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 output tokens 3.7x cheaper ($1.0142 vs $3.75 per million).

Which is cheaper, DeepSeek V3.1 Terminus or Gemini 3.7 Flash?

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 per million output tokens; Gemini 3.7 Flash costs $0.75 and $3.75. Cost per solved task is known for Gemini 3.7 Flash only.

Which has the bigger context window, DeepSeek V3.1 Terminus or Gemini 3.7 Flash?

Gemini 3.7 Flash, with 1.05M tokens against 164K.

How many benchmarks is the DeepSeek V3.1 Terminus vs Gemini 3.7 Flash comparison based on?

36 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 Gemini 3.7 Flash's on 6. Where only one model has a result, the page says so instead of naming a winner.

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