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Gemini 2.5 Pro Preview 06-05 vs Mistral Small 3

Mistral Small 3 costs 125.0x less per output token than Gemini 2.5 Pro Preview 06-05 ($0.08 vs $10.00 per million). Updated October 22, 2026; 4 benchmarks have a result for both.

Gemini 2.5 Pro Preview 06-05Google
Coding
No data
Overall
No data
Output $/M
$10.00
4
Mistral Small 3Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.08
0
vs boards won of 4 shared

Gemini 2.5 Pro Preview 06-05 or Mistral Small 3: which to pick

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

Pick Gemini 2.5 Pro Preview 06-05 for a larger context window (1.05M against 33K tokens).

Shared results
4
Gemini 2.5 Pro Preview 06-05 only
11
Mistral Small 3 only
32
Like-for-like categories
3 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 2.5 Pro Preview 06-05 not benchmarked, Mistral Small 3 not benchmarked.
Widest category
Coding, 52.6 points apart on average over 1 shared benchmark.
Widest single gap
LiveCodeBench (Artificial Analysis run): Gemini 2.5 Pro Preview 06-05 77.8% against Mistral Small 3 25.2%, 52.6 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro Preview 06-05 $10.00 against Mistral Small 3 $0.08 per million output tokens, 125.0x apart.
Context window
Gemini 2.5 Pro Preview 06-05 takes 1.05M tokens, Mistral Small 3 33K.

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 Pro Preview 06-05BarsMistral Small 3Ties
Coding10
Reasoning20
Knowledge10
All shared boards40
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Small 3
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Small 3Leader
Aider polyglot83.1%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LiveCodeBench (Vals AI)79.2%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LiveCodeBench (Artificial Analysis run)77.8%25.2%Gemini 2.5 Pro Preview 06-05
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: codingNot measured1246Only Mistral Small 3 measured
LMArena Text: software and ITNot measured1248Only Mistral Small 3 measured
SciCode7.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 32 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Small 3
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Small 3Leader
AA Intelligence IndexNot measured6.7Only Mistral Small 3 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Small 3
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Small 3Leader
τ²-Bench TelecomNot measured19.6%Only Mistral Small 3 measured
METR time horizons55.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Remote Labor Index0.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
DeepResearch Bench42.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Small 3
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Small 3Leader
GPQA Diamond (Artificial Analysis run)83.6%46.2%Gemini 2.5 Pro Preview 06-05
Humanity's Last Exam (Artificial Analysis run)19.9%3.8%Gemini 2.5 Pro Preview 06-05
GPQA Diamond (Epoch AI run)84.8%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
SimpleBench62.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
VPCT46.4%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena Text: hard promptsNot measured1233Only Mistral Small 3 measured
LMArena Text: expertNot measured1202Only Mistral Small 3 measured
LMArena Text: hard prompts in EnglishNot measured1243Only Mistral Small 3 measured
Neither model has a result on the other 14 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Small 3
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Small 3Leader
AA Math IndexNot measured4.3Only Mistral Small 3 measured
AIME 2025 (Artificial Analysis run)Not measured4.3%Only Mistral Small 3 measured
LMArena Text: mathNot measured1240Only Mistral Small 3 measured
LMArena Text: mathematical workNot measured1243Only Mistral Small 3 measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Small 3
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Small 3Leader
MMLU Pro (Artificial Analysis run)85.8%65.2%Gemini 2.5 Pro Preview 06-05
LMArena Text: scienceNot measured1235Only Mistral Small 3 measured
LMArena Text: medicine and healthcareNot measured1215Only Mistral Small 3 measured
LMArena Text: legal and governmentNot measured1219Only Mistral Small 3 measured
LMArena Text: business and financeNot measured1205Only Mistral Small 3 measured
Neither model has a result on the other 13 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Small 3
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Small 3Leader
Neither model has a result on 9 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
General benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Small 3
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Small 3Leader
IFBenchNot measured26.4%Only Mistral Small 3 measured
Long context reasoning (AA-LCR)Not measured0.0%Only Mistral Small 3 measured
Fiction.LiveBench91.7%Not measuredOnly Gemini 2.5 Pro Preview 06-05 measured
LMArena TextNot measured1234Only Mistral Small 3 measured
LMArena Text: instruction followingNot measured1214Only Mistral Small 3 measured
LMArena Text: creative writingNot measured1194Only Mistral Small 3 measured
LMArena Text: EnglishNot measured1256Only Mistral Small 3 measured
LMArena Text: non-EnglishNot measured1198Only Mistral Small 3 measured
LMArena Text: ChineseNot measured1204Only Mistral Small 3 measured
LMArena Text: GermanNot measured1211Only Mistral Small 3 measured
LMArena Text: JapaneseNot measured1111Only Mistral Small 3 measured
LMArena Text: KoreanNot measured1188Only Mistral Small 3 measured
LMArena Text: FrenchNot measured1204Only Mistral Small 3 measured
LMArena Text: RussianNot measured1216Only Mistral Small 3 measured
LMArena Text: multi-turnNot measured1217Only Mistral Small 3 measured
LMArena Text: longer queriesNot measured1246Only Mistral Small 3 measured
LMArena Text: writing and languageNot measured1214Only Mistral Small 3 measured
LMArena Text: entertainment and mediaNot measured1184Only Mistral Small 3 measured
Neither model has a result on the other 28 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro Preview 06-05 and Mistral Small 3
BenchmarkGemini 2.5 Pro Preview 06-05Mistral Small 3Leader
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 Pro Preview 06-05$0.0063Fits in one request
Mistral Small 3$0.0001Fits in one request

Mistral Small 3 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro Preview 06-05$0.092Fits in one request
Mistral Small 3$0.0027Exceeds the context window

Mistral Small 3 costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro Preview 06-05$0.350Fits in one request
Mistral Small 3$0.011Exceeds the context window

Mistral Small 3 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 Pro Preview 06-05 and Mistral Small 3
SpecificationGoogle Gemini 2.5 Pro Preview 06-05Mistral Small 3
MakerGoogleMistral AI
WeightsNo public weights listedOpen weights
ReleasedJune 5, 2025January 30, 2025
Context window1.05M33K
Input $/Mtok$1.25$0.05
Output $/Mtok$10.00$0.08
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro Preview 06-05 better than Mistral Small 3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Pro Preview 06-05 for a larger context window (1.05M against 33K tokens).

Which is cheaper, Gemini 2.5 Pro Preview 06-05 or Mistral Small 3?

Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10.00 per million output tokens; Mistral Small 3 costs $0.05 and $0.08. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 2.5 Pro Preview 06-05 or Mistral Small 3?

Gemini 2.5 Pro Preview 06-05, with 1.05M tokens against 33K.

How many benchmarks is the Gemini 2.5 Pro Preview 06-05 vs Mistral Small 3 comparison based on?

4 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro Preview 06-05's coding index rests on 0 independent benchmarks and Mistral Small 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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