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DeepSeek V3.1 Terminus vs Gemini 2.5 Flash

Gemini 2.5 Flash leads DeepSeek V3.1 Terminus on the Artificial Analysis Intelligence Index, 15.5 to 14.8, and DeepSeek V3.1 Terminus costs 2.5x less per output token ($1.0142 vs $2.50 per million). Updated October 21, 2026; 41 benchmarks have a result for both.

Replace DeepSeek V3.1 Terminus Replace Gemini 2.5 Flash
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
36
Gemini 2.5 FlashGoogle
Coding
No data
Overall
34.3
Output $/M
$2.50
5
vs boards won of 41 shared

DeepSeek V3.1 Terminus or Gemini 2.5 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 output tokens 2.5x cheaper ($1.0142 vs $2.50 per million) and work measured by AA Intelligence Index or LMArena Text: math, where it leads.

Model ADeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGemini 2.5 FlashGoogleNot benchmarkedNo coding benchmark$0.466 per solved task
Shared results
41
DeepSeek V3.1 Terminus only
4
Gemini 2.5 Flash only
32
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, Gemini 2.5 Flash not benchmarked.
Widest category
Web design, 14.4 points apart on average over 7 shared benchmarks.
Widest single gap
Design Arena: UI components: DeepSeek V3.1 Terminus 1182 against Gemini 2.5 Flash 1005, 22.1 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 Terminus $1.0142 against Gemini 2.5 Flash $2.50 per million output tokens, 2.5x apart.
Context window
DeepSeek V3.1 Terminus takes 164K tokens, Gemini 2.5 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 2.5 FlashTies
Coding40
Intelligence01
Agentic work10
Reasoning50
Math21
Knowledge50
Web design70
General123
All shared boards365
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V3.1 Terminus and Gemini 2.5 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 2.5 FlashLeader
SWE-bench VerifiedNot measured28.7%Only Gemini 2.5 Flash measured
AA Coding Index43.5Not measuredOnly DeepSeek V3.1 Terminus measured
LiveCodeBench (Artificial Analysis run)79.8%69.5%DeepSeek V3.1 Terminus
SciCode38.0%Not measuredOnly DeepSeek V3.1 Terminus measured
Terminal-Bench Hard (Artificial Analysis run)31.8%13.6%DeepSeek V3.1 Terminus
Terminal-BenchNot measured17.1%Only Gemini 2.5 Flash measured
ALE-Bench745.2Not measuredOnly DeepSeek V3.1 Terminus measured
LMArena Text: coding14251423DeepSeek V3.1 Terminus
LMArena Text: software and IT14261425DeepSeek V3.1 Terminus
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for DeepSeek V3.1 Terminus and Gemini 2.5 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 2.5 FlashLeader
AA Intelligence Index14.815.5Gemini 2.5 Flash
Epoch Capabilities IndexNot measured142.9Only Gemini 2.5 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V3.1 Terminus and Gemini 2.5 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 2.5 FlashLeader
AA Agentic Index6.8Not measuredOnly DeepSeek V3.1 Terminus measured
τ²-Bench Telecom37.1%31.6%DeepSeek V3.1 Terminus
BALROGNot measured33.5%Only Gemini 2.5 Flash measured
Vending-Bench 2Not measured$549Only Gemini 2.5 Flash measured
Berkeley Function Calling Leaderboard (BFCL)Not measured56.2%Only Gemini 2.5 Flash measured
BrowseComp-PlusNot measured39.9%Only Gemini 2.5 Flash measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for DeepSeek V3.1 Terminus and Gemini 2.5 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 2.5 FlashLeader
GPQA Diamond (Artificial Analysis run)79.2%79.0%DeepSeek V3.1 Terminus
Humanity's Last Exam (Artificial Analysis run)16.4%12.1%DeepSeek V3.1 Terminus
ARC-AGINot measured33.3%Only Gemini 2.5 Flash measured
ARC-AGI-2Not measured2.5%Only Gemini 2.5 Flash measured
SimpleBenchNot measured41.2%Only Gemini 2.5 Flash measured
LMArena Text: hard prompts14261422DeepSeek V3.1 Terminus
LMArena Text: expertNot measured1426Only Gemini 2.5 Flash measured
LMArena Text: hard prompts in English14321420DeepSeek V3.1 Terminus
LMArena Vision: diagramsNot measured1245Only Gemini 2.5 Flash measured
LMArena Vision: homeworkNot measured1244Only Gemini 2.5 Flash measured
Kagi LLM Benchmark57.4%56.8%DeepSeek V3.1 Terminus
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for DeepSeek V3.1 Terminus and Gemini 2.5 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 2.5 FlashLeader
AA Math Index89.773.3DeepSeek V3.1 Terminus
AIME 2025 (Artificial Analysis run)89.7%73.3%DeepSeek V3.1 Terminus
LMArena Text: math14021411Gemini 2.5 Flash
LMArena Text: mathematical workNot measured1422Only Gemini 2.5 Flash measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for DeepSeek V3.1 Terminus and Gemini 2.5 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 2.5 FlashLeader
MedCode (Vals AI)Not measured40.4%Only Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)85.1%83.2%DeepSeek V3.1 Terminus
LMArena Text: science14511433DeepSeek V3.1 Terminus
LMArena Text: medicine and healthcare14681428DeepSeek V3.1 Terminus
LMArena Text: legal and government14571430DeepSeek V3.1 Terminus
LMArena Text: business and finance14141404DeepSeek V3.1 Terminus
FACTS Benchmark SuiteNot measured47.2%Only Gemini 2.5 Flash measured
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for DeepSeek V3.1 Terminus and Gemini 2.5 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 2.5 FlashLeader
Design Arena: websites11871074DeepSeek V3.1 Terminus
Design Arena: UI components11821005DeepSeek V3.1 Terminus
Design Arena: game dev11311005DeepSeek V3.1 Terminus
Design Arena: data viz11671060DeepSeek V3.1 Terminus
Design Arena: 3D11411021DeepSeek V3.1 Terminus
Design Arena: all code categories11751059DeepSeek V3.1 Terminus
Design Arena: SVG10651020DeepSeek 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 index123
General benchmarks for DeepSeek V3.1 Terminus and Gemini 2.5 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 2.5 FlashLeader
SAGE (Vals AI)Not measured44.8%Only Gemini 2.5 Flash measured
MedScribe (Vals AI)Not measured83.0%Only Gemini 2.5 Flash measured
IFBench57.0%50.3%DeepSeek V3.1 Terminus
Long context reasoning (AA-LCR)69.3%65.3%DeepSeek V3.1 Terminus
DTBench81.3%76.5%DeepSeek V3.1 Terminus
LMCA28.6%27.5%DeepSeek V3.1 Terminus
LMArena Text14191417DeepSeek V3.1 Terminus
LMArena Text: instruction following14041405Gemini 2.5 Flash
LMArena Text: creative writing14031400DeepSeek V3.1 Terminus
LMArena VisionNot measured1235Only Gemini 2.5 Flash measured
LMArena Text: English14291418DeepSeek V3.1 Terminus
LMArena Text: non-English14081409Gemini 2.5 Flash
LMArena Text: ChineseNot measured1449Only Gemini 2.5 Flash measured
LMArena Text: GermanNot measured1417Only Gemini 2.5 Flash measured
LMArena Text: JapaneseNot measured1396Only Gemini 2.5 Flash measured
LMArena Text: KoreanNot measured1385Only Gemini 2.5 Flash measured
LMArena Text: FrenchNot measured1432Only Gemini 2.5 Flash measured
LMArena Text: SpanishNot measured1422Only Gemini 2.5 Flash measured
LMArena Text: Russian14351415DeepSeek V3.1 Terminus
LMArena Text: Polish14271413DeepSeek V3.1 Terminus
LMArena Text: multi-turn14111408DeepSeek V3.1 Terminus
LMArena Text: longer queries14221419DeepSeek V3.1 Terminus
LMArena Text: writing and language14091405DeepSeek V3.1 Terminus
LMArena Text: entertainment and media13911393Gemini 2.5 Flash
LMArena Vision: EnglishNot measured1239Only Gemini 2.5 Flash measured
LMArena Vision: ChineseNot measured1284Only Gemini 2.5 Flash measured
LMArena Vision: reading textNot measured1237Only Gemini 2.5 Flash measured
LMArena Vision: humorNot measured1225Only Gemini 2.5 Flash measured
LMArena Vision: captioningNot measured1277Only Gemini 2.5 Flash measured
LMArena Vision: recognizing thingsNot measured1252Only Gemini 2.5 Flash measured
LMArena Vision: creative writingNot measured1241Only Gemini 2.5 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 2.5 Flash
BenchmarkDeepSeek V3.1 TerminusGemini 2.5 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 2.5 Flash$0.0015Fits 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 2.5 Flash$0.022Fits 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 2.5 Flash$0.085Fits 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 2.5 Flash
SpecificationDeepSeek V3.1 TerminusGoogle Gemini 2.5 Flash
MakerDeepSeekGoogle
WeightsOpen weightsNo public weights listed
ReleasedSeptember 22, 2025June 17, 2025
Context window164K1.05M
Input $/Mtok$0.3063$0.30
Output $/Mtok$1.0142$2.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computable$0.466
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 Terminus better than Gemini 2.5 Flash for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3.1 Terminus for output tokens 2.5x cheaper ($1.0142 vs $2.50 per million) and work measured by AA Intelligence Index or LMArena Text: math, where it leads.

Which is cheaper, DeepSeek V3.1 Terminus or Gemini 2.5 Flash?

DeepSeek V3.1 Terminus costs $0.3063 per million input tokens and $1.0142 per million output tokens; Gemini 2.5 Flash costs $0.30 and $2.50. Cost per solved task is known for Gemini 2.5 Flash only.

Which has the bigger context window, DeepSeek V3.1 Terminus or Gemini 2.5 Flash?

Gemini 2.5 Flash, with 1.05M tokens against 164K.

How many benchmarks is the DeepSeek V3.1 Terminus vs Gemini 2.5 Flash comparison based on?

41 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 2.5 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

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