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Gemini 2.5 Flash vs Mistral Medium 3.1

Gemini 2.5 Flash leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 15.5 to 9.2, and Mistral Medium 3.1 costs 1.3x less per output token ($2.00 vs $2.50 per million). Updated October 21, 2026; 58 benchmarks have a result for both.

Replace Gemini 2.5 Flash Replace Mistral Medium 3.1
Gemini 2.5 FlashGoogle
Coding
No data
Overall
15.5
Output $/M
$2.50
36
Mistral Medium 3.1Mistral AI
Coding
No data
Overall
9.2
Output $/M
$2.00
22
vs boards won of 58 shared

Gemini 2.5 Flash or Mistral Medium 3.1: which to pick

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

Pick Gemini 2.5 Flash for a larger context window (1.05M against 131K tokens) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGemini 2.5 FlashGoogleNot benchmarkedNo coding benchmark$0.466 per solved taskModel BMistral Medium 3.1Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
58
Gemini 2.5 Flash only
11
Mistral Medium 3.1 only
16
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 2.5 Flash not benchmarked, Mistral Medium 3.1 not benchmarked.
Widest category
Math, 18.0 points apart on average over 4 shared benchmarks.
Widest single gap
AA Math Index: Gemini 2.5 Flash 73.3 against Mistral Medium 3.1 38.3, 35.0 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against Mistral Medium 3.1 $2.00 per million output tokens, 1.3x apart.
Context window
Gemini 2.5 Flash takes 1.05M tokens, Mistral Medium 3.1 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
CategoryGemini 2.5 FlashBarsMistral Medium 3.1Ties
Coding22
Intelligence10
Agentic work01
Reasoning52
Math40
Knowledge14
Web design16
General227
All shared boards3622
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
Coding benchmarks for Gemini 2.5 Flash and Mistral Medium 3.1
BenchmarkGemini 2.5 FlashMistral Medium 3.1Leader
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
AA Coding IndexNot measured20.5Only Mistral Medium 3.1 measured
LiveCodeBench (Vals AI)Not measured44.8%Only Mistral Medium 3.1 measured
LiveCodeBench (Artificial Analysis run)69.5%40.6%Gemini 2.5 Flash
SciCodeNot measured32.4%Only Mistral Medium 3.1 measured
Terminal-Bench Hard (Artificial Analysis run)13.6%10.6%Gemini 2.5 Flash
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash measured
ALE-BenchNot measured210.2Only Mistral Medium 3.1 measured
LMArena Text: coding14231433Mistral Medium 3.1
LMArena Text: software and IT14251436Mistral Medium 3.1
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 Medium 3.1
BenchmarkGemini 2.5 FlashMistral Medium 3.1Leader
AA Intelligence Index15.59.2Gemini 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 Medium 3.1
BenchmarkGemini 2.5 FlashMistral Medium 3.1Leader
AA Agentic IndexNot measured1.9Only Mistral Medium 3.1 measured
τ²-Bench Telecom31.6%40.6%Mistral Medium 3.1
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 index52
Reasoning benchmarks for Gemini 2.5 Flash and Mistral Medium 3.1
BenchmarkGemini 2.5 FlashMistral Medium 3.1Leader
MMMU Pro (Vals AI)Not measured63.0%Only Mistral Medium 3.1 measured
GPQA Diamond (Artificial Analysis run)79.0%58.8%Gemini 2.5 Flash
Humanity's Last Exam (Artificial Analysis run)12.1%4.7%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 prompts14221426Mistral Medium 3.1
LMArena Text: expert14261408Gemini 2.5 Flash
LMArena Text: hard prompts in English14201435Mistral Medium 3.1
LMArena Vision: diagrams12451175Gemini 2.5 Flash
LMArena Vision: homework12441165Gemini 2.5 Flash
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Gemini 2.5 Flash and Mistral Medium 3.1
BenchmarkGemini 2.5 FlashMistral Medium 3.1Leader
AIMENot measured42.3%Only Mistral Medium 3.1 measured
MATH 500 (Vals AI)Not measured87.0%Only Mistral Medium 3.1 measured
MGSM (Vals AI)Not measured90.9%Only Mistral Medium 3.1 measured
AA Math Index73.338.3Gemini 2.5 Flash
AIME 2025 (Artificial Analysis run)73.3%38.3%Gemini 2.5 Flash
LMArena Text: math14111408Gemini 2.5 Flash
LMArena Text: mathematical work14221412Gemini 2.5 Flash
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
Knowledge benchmarks for Gemini 2.5 Flash and Mistral Medium 3.1
BenchmarkGemini 2.5 FlashMistral Medium 3.1Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.1 measured
LegalBench (Vals AI)Not measured62.0%Only Mistral Medium 3.1 measured
CorpFin (Vals AI)Not measured50.7%Only Mistral Medium 3.1 measured
TaxEval (Vals AI)Not measured70.3%Only Mistral Medium 3.1 measured
MortgageTax (Vals AI)Not measured36.5%Only Mistral Medium 3.1 measured
MedQA (Vals AI)Not measured78.2%Only Mistral Medium 3.1 measured
MedCode (Vals AI)40.4%Not measuredOnly Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)83.2%68.3%Gemini 2.5 Flash
LMArena Text: science14331444Mistral Medium 3.1
LMArena Text: medicine and healthcare14281449Mistral Medium 3.1
LMArena Text: legal and government14301439Mistral Medium 3.1
LMArena Text: business and finance14041418Mistral Medium 3.1
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for Gemini 2.5 Flash and Mistral Medium 3.1
BenchmarkGemini 2.5 FlashMistral Medium 3.1Leader
Design Arena: websites10741133Mistral Medium 3.1
Design Arena: UI components10051100Mistral Medium 3.1
Design Arena: game dev10051074Mistral Medium 3.1
Design Arena: data viz10601144Mistral Medium 3.1
Design Arena: 3D10211081Mistral Medium 3.1
Design Arena: all code categories10591120Mistral Medium 3.1
Design Arena: SVG1020993Gemini 2.5 Flash
Design Arena: ASCII artNot measured997Only Mistral Medium 3.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index227
General benchmarks for Gemini 2.5 Flash and Mistral Medium 3.1
BenchmarkGemini 2.5 FlashMistral Medium 3.1Leader
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%39.8%Gemini 2.5 Flash
Long context reasoning (AA-LCR)65.3%42.7%Gemini 2.5 Flash
DTBench76.5%67.5%Gemini 2.5 Flash
LMCA27.5%19.1%Gemini 2.5 Flash
LMArena Text14171424Mistral Medium 3.1
LMArena Text: instruction following14051398Gemini 2.5 Flash
LMArena Text: creative writing14001391Gemini 2.5 Flash
LMArena Vision12351172Gemini 2.5 Flash
LMArena Text: English14181438Mistral Medium 3.1
LMArena Text: non-English14091408Gemini 2.5 Flash
LMArena Text: Chinese14491447Gemini 2.5 Flash
LMArena Text: German14171432Mistral Medium 3.1
LMArena Text: Japanese13961379Gemini 2.5 Flash
LMArena Text: Korean13851380Gemini 2.5 Flash
LMArena Text: French14321460Mistral Medium 3.1
LMArena Text: Spanish14221433Mistral Medium 3.1
LMArena Text: Russian14151411Gemini 2.5 Flash
LMArena Text: Polish14131430Mistral Medium 3.1
LMArena Text: multi-turn14081418Mistral Medium 3.1
LMArena Text: longer queries14191406Gemini 2.5 Flash
LMArena Text: writing and language14051395Gemini 2.5 Flash
LMArena Text: entertainment and media13931390Gemini 2.5 Flash
LMArena Vision: English12391179Gemini 2.5 Flash
LMArena Vision: Chinese12841190Gemini 2.5 Flash
LMArena Vision: reading text12371175Gemini 2.5 Flash
LMArena Vision: humor12251168Gemini 2.5 Flash
LMArena Vision: captioning12771145Gemini 2.5 Flash
LMArena Vision: recognizing things12521147Gemini 2.5 Flash
LMArena Vision: creative writing12411200Gemini 2.5 Flash
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 Medium 3.1
BenchmarkGemini 2.5 FlashMistral Medium 3.1Leader
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 Medium 3.1$0.0014Fits in one request

Mistral Medium 3.1 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash$0.022Fits in one request
Mistral Medium 3.1$0.026Fits in one request

Gemini 2.5 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash$0.085Fits in one request
Mistral Medium 3.1$0.100Exceeds the context window

Gemini 2.5 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 2.5 Flash and Mistral Medium 3.1
SpecificationGoogle Gemini 2.5 FlashMistral Medium 3.1
MakerGoogleMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025August 13, 2025
Context window1.05M131K
Input $/Mtok$0.30$0.40
Output $/Mtok$2.50$2.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$0.466Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash better than Mistral Medium 3.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash for a larger context window (1.05M against 131K tokens) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Gemini 2.5 Flash or Mistral Medium 3.1?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Mistral Medium 3.1 costs $0.40 and $2.00. Cost per solved task is known for Gemini 2.5 Flash only.

Which has the bigger context window, Gemini 2.5 Flash or Mistral Medium 3.1?

Gemini 2.5 Flash, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 2.5 Flash vs Mistral Medium 3.1 comparison based on?

58 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 Medium 3.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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