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Gemini 3.8 Flash vs Mistral Large 4

Gemini 3.8 Flash leads Mistral Large 4 on coding, 61.6 to 56.4 on the Vibe Coding Index, at about the same output price ($3.75 vs $4.18 per million). Updated October 21, 2026; 81 benchmarks have a result for both.

Replace Gemini 3.8 Flash Replace Mistral Large 4
Gemini 3.8 FlashGoogle
Coding
61.6
Overall
69.0
Output $/M
$3.75
75
Mistral Large 4Mistral AI
Coding
56.4
Overall
54.6
Output $/M
$4.18
6
vs boards won of 81 shared

Gemini 3.8 Flash or Mistral Large 4: which to pick

Pick Gemini 3.8 Flash for coding: it scores 61.6 on the Vibe Coding Index against 56.4 for Mistral Large 4.

Pick Mistral Large 4 for work measured by Terminal-Bench 4 (Vals AI) or Harvey's Legal Agent Benchmark (Vals AI), where it leads.

Model AGemini 3.8 FlashGoogle61.6/1006 independent benchmarks$2.74 per solved taskModel BMistral Large 4Mistral AI56.4/1005 independent benchmarksNo cost per solved task
Shared results
81
Gemini 3.8 Flash only
47
Mistral Large 4 only
0
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
Gemini 3.8 Flash 61.6 from 6 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
Widest category
Agentic work, 18.6 points apart on average over 9 shared benchmarks.
Widest single gap
LiveBench browser: Gemini 3.8 Flash 64.0% against Mistral Large 4 8.0%, 56.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.8 Flash $3.75 against Mistral Large 4 $4.18 per million output tokens, 1.1x apart.
Context window
Both take 1.05M tokens.

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
CategoryGemini 3.8 FlashBarsMistral Large 4Ties
Coding141
Intelligence20
Agentic work72
Reasoning100
Math51
Knowledge60
Web design81
General231
All shared boards756
CodingLike-for-likeSix of these boards feed the Vibe Coding Index141
Coding benchmarks for Gemini 3.8 Flash and Mistral Large 4
BenchmarkGemini 3.8 FlashMistral Large 4Leader
LiveBench coding82.2%60.0%Gemini 3.8 Flash
LMArena WebDev15851543Gemini 3.8 Flash
AA Coding Index76.3Not measuredOnly Gemini 3.8 Flash measured
LiveCodeBench (Vals AI)89.5%Not measuredOnly Gemini 3.8 Flash measured
SWE-bench Verified (Vals AI)80.0%Not measuredOnly Gemini 3.8 Flash measured
Terminal-Bench 4 (Vals AI)19.7%27.8%Mistral Large 4
Vibe Code Bench (Vals AI)78.7%78.4%Gemini 3.8 Flash
Code migration (Vals AI)36.5%30.6%Gemini 3.8 Flash
ProgramBench (Vals AI)1.0%Not measuredOnly Gemini 3.8 Flash measured
IOI (Vals AI)56.9%45.3%Gemini 3.8 Flash
Terminal-Bench 2.1 (Vals AI)81.3%Not measuredOnly Gemini 3.8 Flash measured
SWE-bench Multimodal (Vals AI)40.8%33.1%Gemini 3.8 Flash
Vibe Code Bench 1-100 (Vals AI)18.8%14.3%Gemini 3.8 Flash
SkillsBench (Vals AI)58.0%Not measuredOnly Gemini 3.8 Flash measured
CyberBench (Vals AI)43.8%Not measuredOnly Gemini 3.8 Flash measured
SciCode56.6%54.2%Gemini 3.8 Flash
FrontierCode41.2%39.4%Gemini 3.8 Flash
FrontierSWE19.6%Not measuredOnly Gemini 3.8 Flash measured
WeirdML84.8%Not measuredOnly Gemini 3.8 Flash measured
ALE-Bench1269.71213.2Gemini 3.8 Flash
LMArena Text: coding15081478Gemini 3.8 Flash
LMArena Text: software and IT15071467Gemini 3.8 Flash
LMArena WebDev: React15771559Gemini 3.8 Flash
LMArena WebDev: HTML16161487Gemini 3.8 Flash
LMArena WebDev: from an image1593Not measuredOnly Gemini 3.8 Flash measured
SciCode12.3%Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.8 Flash and Mistral Large 4
BenchmarkGemini 3.8 FlashMistral Large 4Leader
AA Intelligence Index40.938.4Gemini 3.8 Flash
Epoch Capabilities Index157.4150.0Gemini 3.8 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index72
Agentic work benchmarks for Gemini 3.8 Flash and Mistral Large 4
BenchmarkGemini 3.8 FlashMistral Large 4Leader
AA Agentic Index40.2Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building web apps1238Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building full-stack apps1244Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building mobile apps1236Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building Android apps1074Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building Godot games1273Not measuredOnly Gemini 3.8 Flash measured
Design Arena: PowerPoint slides1177Not measuredOnly Gemini 3.8 Flash measured
Design Arena: spreadsheets1056Not measuredOnly Gemini 3.8 Flash measured
LiveBench research79.1%28.1%Gemini 3.8 Flash
LiveBench browser64.0%8.0%Gemini 3.8 Flash
LiveBench long agentic30.1%11.8%Gemini 3.8 Flash
SREBench (Vals AI)11.1%Not measuredOnly Gemini 3.8 Flash measured
Finance Agent (Vals AI)61.4%54.7%Gemini 3.8 Flash
Tax Agent Bench (Vals AI)32.1%30.4%Gemini 3.8 Flash
Legal Research Bench (Vals AI)38.9%31.7%Gemini 3.8 Flash
Harvey's Legal Agent Benchmark (Vals AI)12.1%17.5%Mistral Large 4
Excel Modeling Benchmark (Vals AI)72.2%56.2%Gemini 3.8 Flash
BioMysteryBench (Vals AI)62.2%67.0%Mistral Large 4
Terminal-Bench-Science (Vals AI)8.6%Not measuredOnly Gemini 3.8 Flash measured
Vals Science Index35.8%Not measuredOnly Gemini 3.8 Flash measured
Time Horizon Index (Vals AI)18.8%Not measuredOnly Gemini 3.8 Flash measured
CUA-bench (Vals AI)4.2%Not measuredOnly Gemini 3.8 Flash measured
APEX-Agents64.3%Not measuredOnly Gemini 3.8 Flash measured
Remote Labor Index5.8%Not measuredOnly Gemini 3.8 Flash measured
Vending-Bench 2$5,094Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
Reasoning benchmarks for Gemini 3.8 Flash and Mistral Large 4
BenchmarkGemini 3.8 FlashMistral Large 4Leader
GPQA Diamond94.4%Not measuredOnly Gemini 3.8 Flash measured
LiveBench reasoning89.3%83.9%Gemini 3.8 Flash
MysteryMechanism (Vals AI)36.5%12.2%Gemini 3.8 Flash
MMMU Pro (Vals AI)89.1%Not measuredOnly Gemini 3.8 Flash measured
GPQA Diamond (Artificial Analysis run)95.3%Not measuredOnly Gemini 3.8 Flash measured
Humanity's Last Exam (Artificial Analysis run)47.8%35.0%Gemini 3.8 Flash
GPQA Diamond (Epoch AI run)95.4%88.1%Gemini 3.8 Flash
ARC-AGI98.5%Not measuredOnly Gemini 3.8 Flash measured
ARC-AGI-289.2%Not measuredOnly Gemini 3.8 Flash measured
Chess puzzles58.0%33.0%Gemini 3.8 Flash
Mystery game puzzles47.0%17.0%Gemini 3.8 Flash
LMArena Text: hard prompts15091444Gemini 3.8 Flash
LMArena Text: expert15261444Gemini 3.8 Flash
LMArena Text: hard prompts in English15041442Gemini 3.8 Flash
LMArena Vision: diagrams13451288Gemini 3.8 Flash
LMArena Vision: homework1351Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for Gemini 3.8 Flash and Mistral Large 4
BenchmarkGemini 3.8 FlashMistral Large 4Leader
OTIS Mock AIME98.9%98.3%Gemini 3.8 Flash
FrontierMath, tiers 1 to 368.4%58.6%Gemini 3.8 Flash
FrontierMath, tier 422.0%26.8%Mistral Large 4
ProofBench48.0%10.0%Gemini 3.8 Flash
LMArena Text: math15321469Gemini 3.8 Flash
LMArena Text: mathematical work15191462Gemini 3.8 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Gemini 3.8 Flash and Mistral Large 4
BenchmarkGemini 3.8 FlashMistral Large 4Leader
MMLU Pro90.2%Not measuredOnly Gemini 3.8 Flash measured
LegalBench (Vals AI)87.0%Not measuredOnly Gemini 3.8 Flash measured
TaxEval (Vals AI)74.5%Not measuredOnly Gemini 3.8 Flash measured
MortgageTax (Vals AI)65.3%Not measuredOnly Gemini 3.8 Flash measured
MedCode (Vals AI)48.1%40.7%Gemini 3.8 Flash
SimpleQA Verified69.7%20.0%Gemini 3.8 Flash
LMArena Text: science15231448Gemini 3.8 Flash
LMArena Text: medicine and healthcare15081433Gemini 3.8 Flash
LMArena Text: legal and government14971425Gemini 3.8 Flash
LMArena Text: business and finance14791439Gemini 3.8 Flash
FACTS Benchmark Suite69.4%Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index81
Web design benchmarks for Gemini 3.8 Flash and Mistral Large 4
BenchmarkGemini 3.8 FlashMistral Large 4Leader
Design Arena: websites13001258Gemini 3.8 Flash
Design Arena: UI components13191275Gemini 3.8 Flash
Design Arena: game dev13051226Gemini 3.8 Flash
Design Arena: data viz12691274Mistral Large 4
Design Arena: 3D12951253Gemini 3.8 Flash
Design Arena: all code categories13041259Gemini 3.8 Flash
Design Arena: SVG12951233Gemini 3.8 Flash
Design Arena: ASCII art12651202Gemini 3.8 Flash
LiveBench design72.7%65.6%Gemini 3.8 Flash
GeneralLike-for-likePublic boards, shown as published, kept out of the index231
General benchmarks for Gemini 3.8 Flash and Mistral Large 4
BenchmarkGemini 3.8 FlashMistral Large 4Leader
Vals Index56.0%Not measuredOnly Gemini 3.8 Flash measured
LiveBench data analysis54.0%76.5%Mistral Large 4
Public Benefits Bench (Vals AI)65.3%Not measuredOnly Gemini 3.8 Flash measured
SAGE (Vals AI)35.1%Not measuredOnly Gemini 3.8 Flash measured
MedScribe (Vals AI)84.5%80.4%Gemini 3.8 Flash
Long context reasoning (AA-LCR)84.0%81.3%Gemini 3.8 Flash
DTBench95.7%88.2%Gemini 3.8 Flash
LMCA52.9%35.8%Gemini 3.8 Flash
Surface Evolver Bench76.9%28.1%Gemini 3.8 Flash
Furniture assembly31.7%20.8%Gemini 3.8 Flash
LMArena Text14991431Gemini 3.8 Flash
LMArena Text: instruction following14921422Gemini 3.8 Flash
LMArena Text: creative writing14881363Gemini 3.8 Flash
LMArena Vision13151272Gemini 3.8 Flash
LMArena Text: English14981433Gemini 3.8 Flash
LMArena Text: non-English14911422Gemini 3.8 Flash
LMArena Text: Chinese15531492Gemini 3.8 Flash
LMArena Text: German1501Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: Japanese15071415Gemini 3.8 Flash
LMArena Text: Korean1464Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: French14961492Gemini 3.8 Flash
LMArena Text: Spanish14871455Gemini 3.8 Flash
LMArena Text: Russian15141417Gemini 3.8 Flash
LMArena Text: Polish1497Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: multi-turn15031435Gemini 3.8 Flash
LMArena Text: longer queries15071428Gemini 3.8 Flash
LMArena Text: writing and language14941386Gemini 3.8 Flash
LMArena Text: entertainment and media14801378Gemini 3.8 Flash
LMArena Vision: English13181283Gemini 3.8 Flash
LMArena Vision: Chinese1416Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: reading text13331284Gemini 3.8 Flash
LMArena Vision: humor1321Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: creative writing1299Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.8 Flash and Mistral Large 4
BenchmarkGemini 3.8 FlashMistral Large 4Leader
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

Gemini 3.8 Flash$0.0026Fits in one request
Mistral Large 4$0.0034Fits in one request

Gemini 3.8 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.8 Flash$0.049Fits in one request
Mistral Large 4$0.081Fits in one request

Gemini 3.8 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.8 Flash$0.188Fits in one request
Mistral Large 4$0.314Fits in one request

Gemini 3.8 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 Gemini 3.8 Flash and Mistral Large 4
SpecificationGoogle Gemini 3.8 FlashMistral Large 4
MakerGoogleMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 2, 2026October 6, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$1.36
Output $/Mtok$3.75$4.18
Coding index61.656.4
Independent measurements behind it65
Cost per solved task$2.74Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.8 Flash better than Mistral Large 4 for coding?

Pick Gemini 3.8 Flash for coding: it scores 61.6 on the Vibe Coding Index against 56.4 for Mistral Large 4. Pick Mistral Large 4 for work measured by Terminal-Bench 4 (Vals AI) or Harvey's Legal Agent Benchmark (Vals AI), where it leads.

Which is cheaper, Gemini 3.8 Flash or Mistral Large 4?

Gemini 3.8 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for Gemini 3.8 Flash only.

Which has the bigger context window, Gemini 3.8 Flash or Mistral Large 4?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.8 Flash vs Mistral Large 4 comparison based on?

81 benchmarks have a result for both models as of October 21, 2026. Gemini 3.8 Flash's coding index rests on 6 independent benchmarks and Mistral Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-8-flash-vs-mistral-large-4-0">LLMBenchmark.ai, Gemini 3.8 Flash vs Mistral Large 4</a></p>