LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

DeepSeek V4 Flash 0423 vs gpt-oss-120b

Updated October 21, 2026. 43 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

DeepSeek V4 Flash 0423DeepSeek
Coding
54.6
Overall
24.4
Output $/M
$0.182
42
gpt-oss-120bOpenAI
Coding
34.5
Overall
11.6
Output $/M
$0.60
1
vs boards won of 43 shared

Decision reading

Pick DeepSeek V4 Flash 0423 for coding: it scores 54.6 on the Vibe Coding Index against 34.5 for gpt-oss-120b, though on 1 benchmark against 2.

Pick gpt-oss-120b when the benchmark that matters is WeirdML, where it leads.

Shared results
43
DeepSeek V4 Flash 0423 only
5
gpt-oss-120b only
35
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 V4 Flash 0423 54.6 from 1 benchmark, gpt-oss-120b 34.5 from 2 benchmarks.
Widest category
Web design, 28.2 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: 3D: DeepSeek V4 Flash 0423 1189 against gpt-oss-120b 901, 36.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.182 against gpt-oss-120b $0.60 per million output tokens, 3.3x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, gpt-oss-120b 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
CategoryDeepSeek V4 Flash 0423Barsgpt-oss-120bTies
Coding41
Intelligence20
Agentic work10
Reasoning40
Math20
Knowledge40
Web design60
General190
All shared boards421
CodingLike-for-likeFour of these boards feed the Vibe Coding Index41
Coding benchmarks for DeepSeek V4 Flash 0423 and gpt-oss-120b
BenchmarkDeepSeek V4 Flash 0423gpt-oss-120bLeader
Aider polyglotNot measured41.8%Only gpt-oss-120b measured
SWE-bench VerifiedNot measured26.0%Only gpt-oss-120b measured
LMArena WebDev1582Not measuredOnly DeepSeek V4 Flash 0423 measured
AA Coding Index52.030.4DeepSeek V4 Flash 0423
LiveCodeBench (Vals AI)Not measured83.2%Only gpt-oss-120b measured
SWE-bench Verified (Vals AI)Not measured33.6%Only gpt-oss-120b measured
LiveCodeBench (Artificial Analysis run)Not measured87.8%Only gpt-oss-120b measured
SciCodeNot measured34.0%Only gpt-oss-120b measured
Terminal-Bench Hard (Artificial Analysis run)Not measured23.5%Only gpt-oss-120b measured
Terminal-BenchNot measured18.7%Only gpt-oss-120b measured
WeirdML45.6%48.2%gpt-oss-120b
ALE-Bench678.2575.6DeepSeek V4 Flash 0423
LMArena Text: coding14571379DeepSeek V4 Flash 0423
LMArena Text: software and IT14531387DeepSeek V4 Flash 0423
LMArena WebDev: React1585Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena WebDev: HTML1558Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Flash 0423 and gpt-oss-120b
BenchmarkDeepSeek V4 Flash 0423gpt-oss-120bLeader
AA Intelligence Index24.411.6DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1139.8DeepSeek V4 Flash 0423
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V4 Flash 0423 and gpt-oss-120b
BenchmarkDeepSeek V4 Flash 0423gpt-oss-120bLeader
AA Agentic Index26.33.7DeepSeek V4 Flash 0423
τ²-Bench TelecomNot measured65.8%Only gpt-oss-120b measured
APEX-AgentsNot measured4.4%Only gpt-oss-120b measured
METR time horizonsNot measured56.6%Only gpt-oss-120b measured
Vending-Bench 2Not measured-$22Only gpt-oss-120b measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for DeepSeek V4 Flash 0423 and gpt-oss-120b
BenchmarkDeepSeek V4 Flash 0423gpt-oss-120bLeader
GPQA DiamondNot measured78.5%Only gpt-oss-120b measured
GPQA Diamond (Artificial Analysis run)Not measured78.2%Only gpt-oss-120b measured
Humanity's Last Exam (Artificial Analysis run)Not measured19.6%Only gpt-oss-120b measured
GPQA Diamond (Epoch AI run)Not measured75.8%Only gpt-oss-120b measured
SimpleBench46.3%22.1%DeepSeek V4 Flash 0423
Mystery game puzzlesNot measured2.0%Only gpt-oss-120b measured
LMArena Text: hard prompts14441364DeepSeek V4 Flash 0423
LMArena Text: expert14411356DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14491368DeepSeek V4 Flash 0423
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V4 Flash 0423 and gpt-oss-120b
BenchmarkDeepSeek V4 Flash 0423gpt-oss-120bLeader
AIMENot measured92.6%Only gpt-oss-120b measured
MATH 500 (Vals AI)Not measured94.8%Only gpt-oss-120b measured
MGSM (Vals AI)Not measured92.0%Only gpt-oss-120b measured
AA Math IndexNot measured93.4Only gpt-oss-120b measured
AIME 2025 (Artificial Analysis run)Not measured93.4%Only gpt-oss-120b measured
OTIS Mock AIMENot measured88.9%Only gpt-oss-120b measured
LMArena Text: math14261389DeepSeek V4 Flash 0423
LMArena Text: mathematical work14321386DeepSeek V4 Flash 0423
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V4 Flash 0423 and gpt-oss-120b
BenchmarkDeepSeek V4 Flash 0423gpt-oss-120bLeader
MMLU ProNot measured79.2%Only gpt-oss-120b measured
LegalBench (Vals AI)Not measured75.9%Only gpt-oss-120b measured
CaseLaw (Vals AI)Not measured48.8%Only gpt-oss-120b measured
CorpFin (Vals AI)Not measured58.2%Only gpt-oss-120b measured
TaxEval (Vals AI)Not measured71.6%Only gpt-oss-120b measured
MedQA (Vals AI)Not measured91.4%Only gpt-oss-120b measured
MMLU Pro (Artificial Analysis run)Not measured80.8%Only gpt-oss-120b measured
LMArena Text: science14461382DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481388DeepSeek V4 Flash 0423
LMArena Text: legal and government14391355DeepSeek V4 Flash 0423
LMArena Text: business and finance14251359DeepSeek V4 Flash 0423
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for DeepSeek V4 Flash 0423 and gpt-oss-120b
BenchmarkDeepSeek V4 Flash 0423gpt-oss-120bLeader
Design Arena: websites1208968DeepSeek V4 Flash 0423
Design Arena: UI components1164927DeepSeek V4 Flash 0423
Design Arena: game dev1197992DeepSeek V4 Flash 0423
Design Arena: data viz1127987DeepSeek V4 Flash 0423
Design Arena: 3D1189901DeepSeek V4 Flash 0423
Design Arena: all code categories1205963DeepSeek V4 Flash 0423
Design Arena: SVG1155Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: ASCII art1109Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for DeepSeek V4 Flash 0423 and gpt-oss-120b
BenchmarkDeepSeek V4 Flash 0423gpt-oss-120bLeader
IFBenchNot measured69.0%Only gpt-oss-120b measured
Long context reasoning (AA-LCR)Not measured52.0%Only gpt-oss-120b measured
DTBench86.4%76.3%DeepSeek V4 Flash 0423
LMCA35.9%22.1%DeepSeek V4 Flash 0423
Fiction.LiveBenchNot measured44.4%Only gpt-oss-120b measured
Creative writing (Lech Mazur)Not measured77.1%Only gpt-oss-120b measured
Surface Evolver BenchNot measured25.0%Only gpt-oss-120b measured
LMArena Text14321366DeepSeek V4 Flash 0423
LMArena Text: instruction following14211318DeepSeek V4 Flash 0423
LMArena Text: creative writing14031274DeepSeek V4 Flash 0423
LMArena Text: English14411375DeepSeek V4 Flash 0423
LMArena Text: non-English14191351DeepSeek V4 Flash 0423
LMArena Text: Chinese14631385DeepSeek V4 Flash 0423
LMArena Text: German14191353DeepSeek V4 Flash 0423
LMArena Text: Japanese13891331DeepSeek V4 Flash 0423
LMArena Text: Korean13831282DeepSeek V4 Flash 0423
LMArena Text: French14391370DeepSeek V4 Flash 0423
LMArena Text: Spanish14361389DeepSeek V4 Flash 0423
LMArena Text: Russian14271343DeepSeek V4 Flash 0423
LMArena Text: Polish14361353DeepSeek V4 Flash 0423
LMArena Text: multi-turn14491340DeepSeek V4 Flash 0423
LMArena Text: longer queries14341319DeepSeek V4 Flash 0423
LMArena Text: writing and language14101306DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001292DeepSeek V4 Flash 0423
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Flash 0423 and gpt-oss-120b
BenchmarkDeepSeek V4 Flash 0423gpt-oss-120bLeader
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 V4 Flash 0423$0.0002Fits in one request
gpt-oss-120b$0.0004Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0051Fits in one request
gpt-oss-120b$0.0093Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.020Fits in one request
gpt-oss-120b$0.036Exceeds the context window

DeepSeek V4 Flash 0423 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 V4 Flash 0423 and gpt-oss-120b
SpecificationDeepSeek V4 Flash 0423OpenAI gpt-oss-120b
MakerDeepSeekOpenAI
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026August 5, 2025
Context window1.05M131K
Input $/Mtok$0.091$0.15
Output $/Mtok$0.182$0.60
Coding index54.634.5
Independent measurements behind it12
Cost per solved taskNot computable$0.51
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than gpt-oss-120b for coding?

Pick DeepSeek V4 Flash 0423 for coding: it scores 54.6 on the Vibe Coding Index against 34.5 for gpt-oss-120b, though on 1 benchmark against 2. Pick gpt-oss-120b when the benchmark that matters is WeirdML, where it leads.

Which is cheaper, DeepSeek V4 Flash 0423 or gpt-oss-120b?

DeepSeek V4 Flash 0423 costs $0.091 per million input tokens and $0.182 per million output tokens; gpt-oss-120b costs $0.15 and $0.60. Cost per solved task is known for gpt-oss-120b only.

Which has the bigger context window, DeepSeek V4 Flash 0423 or gpt-oss-120b?

DeepSeek V4 Flash 0423, with 1.05M tokens against 131K.

How many benchmarks is the DeepSeek V4 Flash 0423 vs gpt-oss-120b comparison based on?

43 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash 0423's coding index rests on 1 independent benchmark and gpt-oss-120b's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next