Enter opens the highlighted result. Esc closes.

Gemini 2.5 Flash vs Mistral Medium 3.5

Gemini 2.5 Flash leads Mistral Medium 3.5 on the Artificial Analysis Intelligence Index, 15.5 to 14.2, and Gemini 2.5 Flash costs 3.0x less per output token ($2.50 vs $7.50 per million). Updated October 21, 2026; 56 benchmarks have a result for both.

Replace Gemini 2.5 Flash Replace Mistral Medium 3.5
Gemini 2.5 FlashGoogle
Coding
No data
Overall
34.3
Output $/M
$2.50
27
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
29
vs boards won of 56 shared

Gemini 2.5 Flash or Mistral Medium 3.5: which to pick

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Gemini 2.5 Flash has none, so the two cannot be ranked on coding.

Pick Gemini 2.5 Flash for output tokens 3.0x cheaper ($2.50 vs $7.50 per million) and a lower cost per solved task ($0.466 against $6.02).

Model AGemini 2.5 FlashGoogleNot benchmarkedNo coding benchmark$0.466 per solved taskModel BMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved task
Shared results
56
Gemini 2.5 Flash only
17
Mistral Medium 3.5 only
25
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 3.5 25.5 from 3 benchmarks.
Widest category
Agentic work, 62.6 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Gemini 2.5 Flash 31.6% against Mistral Medium 3.5 94.2%, 62.6 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against Mistral Medium 3.5 $7.50 per million output tokens, 3.0x apart.
Context window
Gemini 2.5 Flash takes 1.05M tokens, Mistral Medium 3.5 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 Medium 3.5Ties
Coding03
Intelligence20
Agentic work01
Reasoning35
Math02
Knowledge32
Web design16
General1810
All shared boards2729
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Gemini 2.5 Flash and Mistral Medium 3.5
BenchmarkGemini 2.5 FlashMistral Medium 3.5Leader
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
LMArena WebDevNot measured1264Only Mistral Medium 3.5 measured
AA Coding IndexNot measured46.9Only Mistral Medium 3.5 measured
SWE-bench Verified (Vals AI)Not measured66.4%Only Mistral Medium 3.5 measured
Vibe Code Bench (Vals AI)Not measured2.9%Only Mistral Medium 3.5 measured
Code migration (Vals AI)Not measured5.1%Only Mistral Medium 3.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured39.0%Only Mistral Medium 3.5 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly Gemini 2.5 Flash measured
SciCodeNot measured40.2%Only Mistral Medium 3.5 measured
Terminal-Bench Hard (Artificial Analysis run)13.6%33.3%Mistral Medium 3.5
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash measured
ALE-BenchNot measured764.0Only Mistral Medium 3.5 measured
LMArena Text: coding14231460Mistral Medium 3.5
LMArena Text: software and IT14251458Mistral Medium 3.5
LMArena WebDev: ReactNot measured1254Only Mistral Medium 3.5 measured
LMArena WebDev: HTMLNot measured1308Only Mistral Medium 3.5 measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 2.5 Flash and Mistral Medium 3.5
BenchmarkGemini 2.5 FlashMistral Medium 3.5Leader
AA Intelligence Index15.514.2Gemini 2.5 Flash
Epoch Capabilities Index142.9141.4Gemini 2.5 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 2.5 Flash and Mistral Medium 3.5
BenchmarkGemini 2.5 FlashMistral Medium 3.5Leader
AA Agentic IndexNot measured7.0Only Mistral Medium 3.5 measured
Finance Agent (Vals AI)Not measured32.1%Only Mistral Medium 3.5 measured
Tax Agent Bench (Vals AI)Not measured4.5%Only Mistral Medium 3.5 measured
Legal Research Bench (Vals AI)Not measured9.1%Only Mistral Medium 3.5 measured
Excel Modeling Benchmark (Vals AI)Not measured11.2%Only Mistral Medium 3.5 measured
τ²-Bench Telecom31.6%94.2%Mistral Medium 3.5
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
Vending-Bench 2$549Not measuredOnly Gemini 2.5 Flash measured
Berkeley Function Calling Leaderboard (BFCL)56.2%Not measuredOnly Gemini 2.5 Flash measured
BrowseComp-Plus39.9%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index35
Reasoning benchmarks for Gemini 2.5 Flash and Mistral Medium 3.5
BenchmarkGemini 2.5 FlashMistral Medium 3.5Leader
GPQA DiamondNot measured34.9%Only Mistral Medium 3.5 measured
GPQA Diamond (Artificial Analysis run)79.0%74.8%Gemini 2.5 Flash
Humanity's Last Exam (Artificial Analysis run)12.1%13.8%Mistral Medium 3.5
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 prompts14221436Mistral Medium 3.5
LMArena Text: expert14261432Mistral Medium 3.5
LMArena Text: hard prompts in English14201445Mistral Medium 3.5
LMArena Vision: diagrams12451254Mistral Medium 3.5
LMArena Vision: homework12441230Gemini 2.5 Flash
Kagi LLM Benchmark56.8%41.4%Gemini 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 index02
Math benchmarks for Gemini 2.5 Flash and Mistral Medium 3.5
BenchmarkGemini 2.5 FlashMistral Medium 3.5Leader
AA Math Index73.3Not measuredOnly Gemini 2.5 Flash measured
AIME 2025 (Artificial Analysis run)73.3%Not measuredOnly Gemini 2.5 Flash measured
ProofBenchNot measured9.0%Only Mistral Medium 3.5 measured
LMArena Text: math14111431Mistral Medium 3.5
LMArena Text: mathematical work14221440Mistral Medium 3.5
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index32
Knowledge benchmarks for Gemini 2.5 Flash and Mistral Medium 3.5
BenchmarkGemini 2.5 FlashMistral Medium 3.5Leader
MMLU ProNot measured75.3%Only Mistral Medium 3.5 measured
CaseLaw (Vals AI)Not measured44.2%Only Mistral Medium 3.5 measured
CorpFin (Vals AI)Not measured58.8%Only Mistral Medium 3.5 measured
TaxEval (Vals AI)Not measured68.0%Only Mistral Medium 3.5 measured
MortgageTax (Vals AI)Not measured28.9%Only Mistral Medium 3.5 measured
MedCode (Vals AI)40.4%33.8%Gemini 2.5 Flash
MMLU Pro (Artificial Analysis run)83.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: science14331428Gemini 2.5 Flash
LMArena Text: medicine and healthcare14281409Gemini 2.5 Flash
LMArena Text: legal and government14301437Mistral Medium 3.5
LMArena Text: business and finance14041426Mistral Medium 3.5
FACTS Benchmark Suite47.2%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 6 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 3.5
BenchmarkGemini 2.5 FlashMistral Medium 3.5Leader
Design Arena: websites10741142Mistral Medium 3.5
Design Arena: UI components10051079Mistral Medium 3.5
Design Arena: game dev10051079Mistral Medium 3.5
Design Arena: data viz10601120Mistral Medium 3.5
Design Arena: 3D10211061Mistral Medium 3.5
Design Arena: all code categories10591121Mistral Medium 3.5
Design Arena: SVG1020950Gemini 2.5 Flash
Design Arena: ASCII artNot measured1063Only Mistral Medium 3.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index1810
General benchmarks for Gemini 2.5 Flash and Mistral Medium 3.5
BenchmarkGemini 2.5 FlashMistral Medium 3.5Leader
SAGE (Vals AI)44.8%37.6%Gemini 2.5 Flash
MedScribe (Vals AI)83.0%67.7%Gemini 2.5 Flash
Vals Multimodal IndexNot measured34.8%Only Mistral Medium 3.5 measured
IFBench50.3%68.8%Mistral Medium 3.5
Long context reasoning (AA-LCR)65.3%69.3%Mistral Medium 3.5
DTBench76.5%75.5%Gemini 2.5 Flash
LMCA27.5%26.1%Gemini 2.5 Flash
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
LMArena Text14171421Mistral Medium 3.5
LMArena Text: instruction following14051415Mistral Medium 3.5
LMArena Text: creative writing14001374Gemini 2.5 Flash
LMArena Vision12351222Gemini 2.5 Flash
LMArena Text: English14181433Mistral Medium 3.5
LMArena Text: non-English14091404Gemini 2.5 Flash
LMArena Text: Chinese14491444Gemini 2.5 Flash
LMArena Text: German14171453Mistral Medium 3.5
LMArena Text: Japanese1396Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Korean13851384Gemini 2.5 Flash
LMArena Text: French14321448Mistral Medium 3.5
LMArena Text: Spanish14221411Gemini 2.5 Flash
LMArena Text: Russian14151395Gemini 2.5 Flash
LMArena Text: Polish14131430Mistral Medium 3.5
LMArena Text: multi-turn14081423Mistral Medium 3.5
LMArena Text: longer queries14191415Gemini 2.5 Flash
LMArena Text: writing and language14051384Gemini 2.5 Flash
LMArena Text: entertainment and media13931382Gemini 2.5 Flash
LMArena Vision: English12391240Mistral Medium 3.5
LMArena Vision: Chinese12841244Gemini 2.5 Flash
LMArena Vision: reading text12371233Gemini 2.5 Flash
LMArena Vision: humor12251216Gemini 2.5 Flash
LMArena Vision: captioning1277Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: recognizing things1252Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: creative writing12411198Gemini 2.5 Flash
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 Flash and Mistral Medium 3.5
BenchmarkGemini 2.5 FlashMistral Medium 3.5Leader
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 3.5$0.0053Fits in one request

Gemini 2.5 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash$0.022Fits in one request
Mistral Medium 3.5$0.098Fits 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 3.5$0.375Fits in one request

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 3.5
SpecificationGoogle Gemini 2.5 FlashMistral Medium 3.5
MakerGoogleMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025April 30, 2026
Context window1.05M262K
Input $/Mtok$0.30$1.50
Output $/Mtok$2.50$7.50
Coding indexNot benchmarked25.5
Independent measurements behind it03
Cost per solved task$0.466$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash better than Mistral Medium 3.5 for coding?

Only Mistral Medium 3.5 has a coding score, 25.5 on the Vibe Coding Index; Gemini 2.5 Flash has none, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash for output tokens 3.0x cheaper ($2.50 vs $7.50 per million) and a lower cost per solved task ($0.466 against $6.02).

Which is cheaper, Gemini 2.5 Flash or Mistral Medium 3.5?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Per solved SWE-bench Verified task, Gemini 2.5 Flash costs $0.466 and Mistral Medium 3.5 $6.02.

Which has the bigger context window, Gemini 2.5 Flash or Mistral Medium 3.5?

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

How many benchmarks is the Gemini 2.5 Flash vs Mistral Medium 3.5 comparison based on?

56 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 3.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

Compare next