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Gemini 2.5 Pro vs Mistral Small 3.1 24B

Mistral Small 3.1 24B costs 18.0x less per output token than Gemini 2.5 Pro ($0.555 vs $10.00 per million). Updated October 21, 2026; 38 benchmarks have a result for both.

Replace Gemini 2.5 Pro Replace Mistral Small 3.1 24B
Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
38
Mistral Small 3.1 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.555
0
vs boards won of 38 shared

Gemini 2.5 Pro or Mistral Small 3.1 24B: which to pick

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; Mistral Small 3.1 24B has none, so the two cannot be ranked on coding.

Pick Mistral Small 3.1 24B for output tokens 18.0x cheaper ($0.555 vs $10.00 per million).

Model AGemini 2.5 ProGoogle19.1/1003 independent benchmarks$0.64 per solved taskModel BMistral Small 3.1 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
38
Gemini 2.5 Pro only
52
Mistral Small 3.1 24B only
0
Like-for-like categories
5 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 19.1 from 3 benchmarks, Mistral Small 3.1 24B not benchmarked.
Widest category
Knowledge, 34.0 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: Chinese: Gemini 2.5 Pro 1507 against Mistral Small 3.1 24B 1253, 42.5 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against Mistral Small 3.1 24B $0.555 per million output tokens, 18.0x apart.
Context window
Gemini 2.5 Pro takes 1.05M tokens, Mistral Small 3.1 24B 128K.

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 ProBarsMistral Small 3.1 24BTies
Coding20
Reasoning50
Math20
Knowledge40
General250
All shared boards380
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Gemini 2.5 Pro and Mistral Small 3.1 24B
BenchmarkGemini 2.5 ProMistral Small 3.1 24BLeader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev1226Not measuredOnly Gemini 2.5 Pro measured
AA Coding Index33.3Not measuredOnly Gemini 2.5 Pro measured
SWE-bench Verified (Vals AI)54.4%Not measuredOnly Gemini 2.5 Pro measured
Vibe Code Bench (Vals AI)0.4%Not measuredOnly Gemini 2.5 Pro measured
LiveCodeBench (Artificial Analysis run)80.1%Not measuredOnly Gemini 2.5 Pro measured
SciCode46.3%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench Hard (Artificial Analysis run)26.5%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench32.6%Not measuredOnly Gemini 2.5 Pro measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: coding14521309Gemini 2.5 Pro
LMArena Text: software and IT14591301Gemini 2.5 Pro
LMArena WebDev: HTML1235Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev: from an image1285Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 24 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemini 2.5 Pro and Mistral Small 3.1 24B
BenchmarkGemini 2.5 ProMistral Small 3.1 24BLeader
AA Intelligence Index16.1Not measuredOnly Gemini 2.5 Pro measured
Epoch Capabilities Index145.1Not measuredOnly Gemini 2.5 Pro measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for Gemini 2.5 Pro and Mistral Small 3.1 24B
BenchmarkGemini 2.5 ProMistral Small 3.1 24BLeader
AA Agentic Index1.6Not measuredOnly Gemini 2.5 Pro measured
τ²-Bench Telecom54.1%Not measuredOnly Gemini 2.5 Pro measured
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574Not measuredOnly Gemini 2.5 Pro measured
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro 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 Gemini 2.5 Pro and Mistral Small 3.1 24B
BenchmarkGemini 2.5 ProMistral Small 3.1 24BLeader
GPQA Diamond (Artificial Analysis run)84.4%Not measuredOnly Gemini 2.5 Pro measured
Humanity's Last Exam (Artificial Analysis run)22.5%Not measuredOnly Gemini 2.5 Pro measured
GPQA Diamond (Epoch AI run)85.3%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI41.0%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI-24.9%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: hard prompts14551278Gemini 2.5 Pro
LMArena Text: expert14521257Gemini 2.5 Pro
LMArena Text: hard prompts in English14531290Gemini 2.5 Pro
LMArena Vision: diagrams12741119Gemini 2.5 Pro
LMArena Vision: homework12811158Gemini 2.5 Pro
Kagi LLM Benchmark70.3%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemini 2.5 Pro and Mistral Small 3.1 24B
BenchmarkGemini 2.5 ProMistral Small 3.1 24BLeader
AA Math Index87.7Not measuredOnly Gemini 2.5 Pro measured
AIME 2025 (Artificial Analysis run)87.7%Not measuredOnly Gemini 2.5 Pro measured
OTIS Mock AIME84.7%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tiers 1 to 324.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: math14501261Gemini 2.5 Pro
LMArena Text: mathematical work14541271Gemini 2.5 Pro
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemini 2.5 Pro and Mistral Small 3.1 24B
BenchmarkGemini 2.5 ProMistral Small 3.1 24BLeader
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%Not measuredOnly Gemini 2.5 Pro measured
MortgageTax (Vals AI)68.9%Not measuredOnly Gemini 2.5 Pro measured
MedCode (Vals AI)50.6%Not measuredOnly Gemini 2.5 Pro measured
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: science14801265Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761267Gemini 2.5 Pro
LMArena Text: legal and government14801271Gemini 2.5 Pro
LMArena Text: business and finance14391257Gemini 2.5 Pro
FACTS Benchmark Suite61.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Gemini 2.5 Pro and Mistral Small 3.1 24B
BenchmarkGemini 2.5 ProMistral Small 3.1 24BLeader
Design Arena: websites1167Not measuredOnly Gemini 2.5 Pro measured
Design Arena: UI components1140Not measuredOnly Gemini 2.5 Pro measured
Design Arena: game dev1111Not measuredOnly Gemini 2.5 Pro measured
Design Arena: data viz1221Not measuredOnly Gemini 2.5 Pro measured
Design Arena: 3D1081Not measuredOnly Gemini 2.5 Pro measured
Design Arena: all code categories1152Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index250
General benchmarks for Gemini 2.5 Pro and Mistral Small 3.1 24B
BenchmarkGemini 2.5 ProMistral Small 3.1 24BLeader
SAGE (Vals AI)41.9%Not measuredOnly Gemini 2.5 Pro measured
MedScribe (Vals AI)73.5%Not measuredOnly Gemini 2.5 Pro measured
IFBench48.7%Not measuredOnly Gemini 2.5 Pro measured
Long context reasoning (AA-LCR)69.0%Not measuredOnly Gemini 2.5 Pro measured
DTBench82.4%Not measuredOnly Gemini 2.5 Pro measured
LMCA34.8%Not measuredOnly Gemini 2.5 Pro measured
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text14581277Gemini 2.5 Pro
LMArena Text: instruction following14371263Gemini 2.5 Pro
LMArena Text: creative writing14541252Gemini 2.5 Pro
LMArena Vision12631136Gemini 2.5 Pro
LMArena Text: English14581295Gemini 2.5 Pro
LMArena Text: non-English14521255Gemini 2.5 Pro
LMArena Text: Chinese15071253Gemini 2.5 Pro
LMArena Text: German14871266Gemini 2.5 Pro
LMArena Text: Japanese14611208Gemini 2.5 Pro
LMArena Text: Korean14341207Gemini 2.5 Pro
LMArena Text: French14731273Gemini 2.5 Pro
LMArena Text: Spanish14741284Gemini 2.5 Pro
LMArena Text: Russian14611263Gemini 2.5 Pro
LMArena Text: Polish14791242Gemini 2.5 Pro
LMArena Text: multi-turn14531270Gemini 2.5 Pro
LMArena Text: longer queries14491299Gemini 2.5 Pro
LMArena Text: writing and language14541268Gemini 2.5 Pro
LMArena Text: entertainment and media14411250Gemini 2.5 Pro
LMArena Vision: English12611157Gemini 2.5 Pro
LMArena Vision: Chinese13001155Gemini 2.5 Pro
LMArena Vision: reading text12701132Gemini 2.5 Pro
LMArena Vision: humor12621142Gemini 2.5 Pro
LMArena Vision: captioning13041153Gemini 2.5 Pro
LMArena Vision: recognizing things12831155Gemini 2.5 Pro
LMArena Vision: creative writing12651123Gemini 2.5 Pro
LMArena Document1421Not measuredOnly Gemini 2.5 Pro 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 2.5 Pro and Mistral Small 3.1 24B
BenchmarkGemini 2.5 ProMistral Small 3.1 24BLeader
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$0.0063Fits in one request
Mistral Small 3.1 24B$0.0006Fits in one request

Mistral Small 3.1 24B costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
Mistral Small 3.1 24B$0.019Fits in one request

Mistral Small 3.1 24B costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
Mistral Small 3.1 24B$0.076Exceeds the context window

Mistral Small 3.1 24B 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 and Mistral Small 3.1 24B
SpecificationGoogle Gemini 2.5 ProMistral Small 3.1 24B
MakerGoogleMistral AI
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025March 17, 2025
Context window1.05M128K
Input $/Mtok$1.25$0.351
Output $/Mtok$10.00$0.555
Coding index19.1Not benchmarked
Independent measurements behind it30
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than Mistral Small 3.1 24B for coding?

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; Mistral Small 3.1 24B has none, so the two cannot be ranked on coding. Pick Mistral Small 3.1 24B for output tokens 18.0x cheaper ($0.555 vs $10.00 per million).

Which is cheaper, Gemini 2.5 Pro or Mistral Small 3.1 24B?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Mistral Small 3.1 24B costs $0.351 and $0.555. Cost per solved task is known for Gemini 2.5 Pro only.

Which has the bigger context window, Gemini 2.5 Pro or Mistral Small 3.1 24B?

Gemini 2.5 Pro, with 1.05M tokens against 128K.

How many benchmarks is the Gemini 2.5 Pro vs Mistral Small 3.1 24B comparison based on?

38 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro's coding index rests on 3 independent benchmarks and Mistral Small 3.1 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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