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Gemini 2.5 Flash vs Mistral Small 4

Updated October 21, 2026. 9 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 2.5 FlashGoogle
Coding
No data
Overall
15.5
Output $/M
$2.50
7
Mistral Small 4Mistral AI
Coding
No data
Overall
11.3
Output $/M
$0.60
2
vs boards won of 9 shared

Decision reading

Neither model has a coding score yet, so the two cannot be ranked on coding.

Gemini 2.5 Flash has the edge where the context window is larger, 1.05M against 262K tokens, and where what matters is Terminal-Bench Hard (Artificial Analysis run) or τ²-Bench Telecom, where it leads.

Shared results
9
Gemini 2.5 Flash only
60
Mistral Small 4 only
5
Like-for-like categories
5 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
Gemini 2.5 Flash not benchmarked, Mistral Small 4 not benchmarked.
Widest category
Agentic work, 9.6 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): Gemini 2.5 Flash 65.3% against Mistral Small 4 49.7%, 15.7 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against Mistral Small 4 $0.60 per million output tokens, 4.2x apart.
Context window
Gemini 2.5 Flash takes 1.05M tokens, Mistral Small 4 262K.

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 2.5 FlashBarsMistral Small 4Ties
Coding01
Intelligence10
Agentic work01
Reasoning20
General40
All shared boards72
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Gemini 2.5 Flash and Mistral Small 4
BenchmarkGemini 2.5 FlashMistral Small 4Leader
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
AA Coding IndexNot measured26.6Only Mistral Small 4 measured
Vibe Code Bench (Vals AI)Not measured0.0%Only Mistral Small 4 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly Gemini 2.5 Flash measured
SciCodeNot measured38.8%Only Mistral Small 4 measured
Terminal-Bench Hard (Artificial Analysis run)13.6%17.4%Mistral Small 4
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash measured
ALE-BenchNot measured497.6Only Mistral Small 4 measured
LMArena Text: coding1423Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: software and IT1425Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 2.5 Flash and Mistral Small 4
BenchmarkGemini 2.5 FlashMistral Small 4Leader
AA Intelligence Index15.511.3Gemini 2.5 Flash
Epoch Capabilities Index142.9Not measuredOnly Gemini 2.5 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 2.5 Flash and Mistral Small 4
BenchmarkGemini 2.5 FlashMistral Small 4Leader
AA Agentic IndexNot measured0.8Only Mistral Small 4 measured
τ²-Bench Telecom31.6%41.2%Mistral Small 4
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
Vending-Bench 2$549Not measuredOnly 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 index20
Reasoning benchmarks for Gemini 2.5 Flash and Mistral Small 4
BenchmarkGemini 2.5 FlashMistral Small 4Leader
GPQA Diamond (Artificial Analysis run)79.0%76.9%Gemini 2.5 Flash
Humanity's Last Exam (Artificial Analysis run)12.1%9.9%Gemini 2.5 Flash
ARC-AGI33.3%Not measuredOnly Gemini 2.5 Flash measured
ARC-AGI-22.5%Not measuredOnly Gemini 2.5 Flash measured
SimpleBench41.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: hard prompts1422Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: expert1426Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: hard prompts in English1420Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: diagrams1245Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: homework1244Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Gemini 2.5 Flash and Mistral Small 4
BenchmarkGemini 2.5 FlashMistral Small 4Leader
AA Math Index73.3Not measuredOnly Gemini 2.5 Flash measured
AIME 2025 (Artificial Analysis run)73.3%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: math1411Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: mathematical work1422Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Knowledge benchmarks for Gemini 2.5 Flash and Mistral Small 4
BenchmarkGemini 2.5 FlashMistral Small 4Leader
MedCode (Vals AI)40.4%Not measuredOnly Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)83.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: science1433Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: medicine and healthcare1428Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: legal and government1430Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: business and finance1404Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Gemini 2.5 Flash and Mistral Small 4
BenchmarkGemini 2.5 FlashMistral Small 4Leader
Design Arena: websites1074Not measuredOnly Gemini 2.5 Flash measured
Design Arena: UI components1005Not measuredOnly Gemini 2.5 Flash measured
Design Arena: game dev1005Not measuredOnly Gemini 2.5 Flash measured
Design Arena: data viz1060Not measuredOnly Gemini 2.5 Flash measured
Design Arena: 3D1021Not measuredOnly Gemini 2.5 Flash measured
Design Arena: all code categories1059Not measuredOnly Gemini 2.5 Flash measured
Design Arena: SVG1020Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index40
General benchmarks for Gemini 2.5 Flash and Mistral Small 4
BenchmarkGemini 2.5 FlashMistral Small 4Leader
SAGE (Vals AI)44.8%Not measuredOnly Gemini 2.5 Flash measured
MedScribe (Vals AI)83.0%Not measuredOnly Gemini 2.5 Flash measured
IFBench50.3%48.2%Gemini 2.5 Flash
Long context reasoning (AA-LCR)65.3%49.7%Gemini 2.5 Flash
DTBench76.5%70.9%Gemini 2.5 Flash
LMCA27.5%20.6%Gemini 2.5 Flash
LMArena Text1417Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: instruction following1405Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: creative writing1400Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision1235Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: English1418Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: non-English1409Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Chinese1449Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: German1417Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Japanese1396Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Korean1385Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: French1432Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Spanish1422Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Russian1415Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Polish1413Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: multi-turn1408Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: longer queries1419Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: writing and language1405Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: entertainment and media1393Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: English1239Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: Chinese1284Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: reading text1237Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: humor1225Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: captioning1277Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: recognizing things1252Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: creative writing1241Not measuredOnly 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 Gemini 2.5 Flash and Mistral Small 4
BenchmarkGemini 2.5 FlashMistral Small 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 2.5 Flash$0.0015Fits in one request
Mistral Small 4$0.0004Fits in one request

Mistral Small 4 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash$0.022Fits in one request
Mistral Small 4$0.0093Fits in one request

Mistral Small 4 costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash$0.085Fits in one request
Mistral Small 4$0.036Fits in one request

Mistral Small 4 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 2.5 Flash and Mistral Small 4
SpecificationGoogle Gemini 2.5 FlashMistral Small 4
MakerGoogleMistral AI
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025March 16, 2026
Context window1.05M262K
Input $/Mtok$0.30$0.15
Output $/Mtok$2.50$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved task$0.466Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash better than Mistral Small 4 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Gemini 2.5 Flash has the edge where the context window is larger, 1.05M against 262K tokens, and where what matters is Terminal-Bench Hard (Artificial Analysis run) or τ²-Bench Telecom, where it leads.

Which is cheaper, Gemini 2.5 Flash or Mistral Small 4?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Mistral Small 4 costs $0.15 and $0.60. Cost per solved task is known for Gemini 2.5 Flash only.

Which has the bigger context window, Gemini 2.5 Flash or Mistral Small 4?

Gemini 2.5 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 2.5 Flash vs Mistral Small 4 comparison based on?

9 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash's coding index rests on 0 independent benchmarks and Mistral Small 4's on 1. Where only one model has a result, the page says so instead of naming a winner.

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