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Claude Haiku 4.5 vs Mistral Nemo

Mistral Nemo costs 33.3x less per output token than Claude Haiku 4.5 ($0.15 vs $5.00 per million). Updated October 21, 2026; 2 benchmarks have a result for both.

Claude Haiku 4.5Anthropic
Coding
35.6
Overall
41.0
Output $/M
$5.00
2
Mistral NemoMistral AI
Coding
No data
Overall
No data
Output $/M
$0.15
0
vs boards won of 2 shared

Claude Haiku 4.5 or Mistral Nemo: which to pick

Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; Mistral Nemo has none, so the two cannot be ranked on coding.

Pick Mistral Nemo for output tokens 33.3x cheaper ($0.15 vs $5.00 per million).

Shared results
2
Claude Haiku 4.5 only
93
Mistral Nemo only
1
Like-for-like categories
2 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
Claude Haiku 4.5 35.6 from 4 benchmarks, Mistral Nemo not benchmarked.
Widest category
Intelligence, 29.4 points apart on average over 1 shared benchmark.
Widest single gap
Epoch Capabilities Index: Claude Haiku 4.5 142.2 against Mistral Nemo 118.7, 29.4 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against Mistral Nemo $0.15 per million output tokens, 33.3x apart.
Context window
Claude Haiku 4.5 takes 200K tokens, Mistral Nemo 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
CategoryClaude Haiku 4.5BarsMistral NemoTies
Intelligence10
General10
All shared boards20
CodingDirectional onlySix of these boards feed the Vibe Coding Index17 boards, none shared
Coding benchmarks for Claude Haiku 4.5 and Mistral Nemo
BenchmarkClaude Haiku 4.5Mistral NemoLeader
SWE-bench Verified66.6%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Multilingual64.7%Not measuredOnly Claude Haiku 4.5 measured
LiveBench coding48.1%Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev1330Not measuredOnly Claude Haiku 4.5 measured
AA Coding Index43.9Not measuredOnly Claude Haiku 4.5 measured
LiveCodeBench (Vals AI)41.2%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Verified (Vals AI)66.6%Not measuredOnly Claude Haiku 4.5 measured
Vibe Code Bench (Vals AI)11.4%Not measuredOnly Claude Haiku 4.5 measured
Code migration (Vals AI)7.5%Not measuredOnly Claude Haiku 4.5 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Haiku 4.5 measured
Terminal-Bench 2.1 (Vals AI)43.8%Not measuredOnly Claude Haiku 4.5 measured
Terminal-Bench35.5%Not measuredOnly Claude Haiku 4.5 measured
WeirdML45.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: coding1454Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: software and IT1439Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev: React1326Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev: HTML1318Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Haiku 4.5 and Mistral Nemo
BenchmarkClaude Haiku 4.5Mistral NemoLeader
AA Intelligence Index16.9Not measuredOnly Claude Haiku 4.5 measured
Epoch Capabilities Index142.2118.7Claude Haiku 4.5
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Claude Haiku 4.5 and Mistral Nemo
BenchmarkClaude Haiku 4.5Mistral NemoLeader
AA Agentic Index8.0Not measuredOnly Claude Haiku 4.5 measured
LiveBench research42.2%Not measuredOnly Claude Haiku 4.5 measured
LiveBench browser40.0%Not measuredOnly Claude Haiku 4.5 measured
LiveBench long agentic11.1%Not measuredOnly Claude Haiku 4.5 measured
Finance Agent (Vals AI)31.0%Not measuredOnly Claude Haiku 4.5 measured
Tax Agent Bench (Vals AI)5.9%Not measuredOnly Claude Haiku 4.5 measured
Legal Research Bench (Vals AI)10.6%Not measuredOnly Claude Haiku 4.5 measured
Excel Modeling Benchmark (Vals AI)22.7%Not measuredOnly Claude Haiku 4.5 measured
BALROG31.2%Not measuredOnly Claude Haiku 4.5 measured
DeepResearch Bench45.5%Not measuredOnly Claude Haiku 4.5 measured
Vending-Bench 2$459Not measuredOnly Claude Haiku 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)68.7%Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 29 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Reasoning benchmarks for Claude Haiku 4.5 and Mistral Nemo
BenchmarkClaude Haiku 4.5Mistral NemoLeader
GPQA Diamond72.2%Not measuredOnly Claude Haiku 4.5 measured
LiveBench reasoning61.7%Not measuredOnly Claude Haiku 4.5 measured
MMMU Pro (Vals AI)46.1%Not measuredOnly Claude Haiku 4.5 measured
GPQA Diamond (Epoch AI run)71.2%Not measuredOnly Claude Haiku 4.5 measured
ARC-AGI47.7%Not measuredOnly Claude Haiku 4.5 measured
ARC-AGI-24.0%Not measuredOnly Claude Haiku 4.5 measured
Chess puzzles8.0%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: hard prompts1421Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: expert1443Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: hard prompts in English1435Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Claude Haiku 4.5 and Mistral Nemo
BenchmarkClaude Haiku 4.5Mistral NemoLeader
AIME82.7%Not measuredOnly Claude Haiku 4.5 measured
MGSM (Vals AI)92.2%Not measuredOnly Claude Haiku 4.5 measured
OTIS Mock AIME66.7%Not measuredOnly Claude Haiku 4.5 measured
MATH level 596.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: math1398Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: mathematical work1430Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Knowledge benchmarks for Claude Haiku 4.5 and Mistral Nemo
BenchmarkClaude Haiku 4.5Mistral NemoLeader
MMLU Pro78.7%Not measuredOnly Claude Haiku 4.5 measured
LegalBench (Vals AI)81.2%Not measuredOnly Claude Haiku 4.5 measured
CaseLaw (Vals AI)56.5%Not measuredOnly Claude Haiku 4.5 measured
CorpFin (Vals AI)60.6%Not measuredOnly Claude Haiku 4.5 measured
TaxEval (Vals AI)67.5%Not measuredOnly Claude Haiku 4.5 measured
MortgageTax (Vals AI)62.2%Not measuredOnly Claude Haiku 4.5 measured
MedQA (Vals AI)79.6%Not measuredOnly Claude Haiku 4.5 measured
MedCode (Vals AI)32.7%Not measuredOnly Claude Haiku 4.5 measured
SimpleQA Verified13.2%Not measuredOnly Claude Haiku 4.5 measured
MMLUNot measured65.3%Only Mistral Nemo measured
LMArena Text: science1406Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: medicine and healthcare1394Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: legal and government1400Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: business and finance1400Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Haiku 4.5 and Mistral Nemo
BenchmarkClaude Haiku 4.5Mistral NemoLeader
Design Arena: websites1122Not measuredOnly Claude Haiku 4.5 measured
Design Arena: UI components1100Not measuredOnly Claude Haiku 4.5 measured
Design Arena: game dev1097Not measuredOnly Claude Haiku 4.5 measured
Design Arena: data viz1124Not measuredOnly Claude Haiku 4.5 measured
Design Arena: 3D1072Not measuredOnly Claude Haiku 4.5 measured
Design Arena: all code categories1115Not measuredOnly Claude Haiku 4.5 measured
Design Arena: SVG1026Not measuredOnly Claude Haiku 4.5 measured
Design Arena: ASCII art1140Not measuredOnly Claude Haiku 4.5 measured
LiveBench design59.9%Not measuredOnly Claude Haiku 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Claude Haiku 4.5 and Mistral Nemo
BenchmarkClaude Haiku 4.5Mistral NemoLeader
LiveBench data analysis59.3%Not measuredOnly Claude Haiku 4.5 measured
Public Benefits Bench (Vals AI)54.3%Not measuredOnly Claude Haiku 4.5 measured
SAGE (Vals AI)31.8%Not measuredOnly Claude Haiku 4.5 measured
MedScribe (Vals AI)85.2%Not measuredOnly Claude Haiku 4.5 measured
Vals Multimodal Index42.9%Not measuredOnly Claude Haiku 4.5 measured
DTBench73.6%48.6%Claude Haiku 4.5
LMCA30.9%Not measuredOnly Claude Haiku 4.5 measured
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text1397Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: instruction following1414Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: creative writing1371Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: English1414Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: non-English1377Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Chinese1418Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: German1374Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Japanese1338Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Korean1346Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: French1411Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Spanish1421Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Russian1381Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Polish1343Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: multi-turn1409Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: longer queries1427Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: writing and language1386Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: entertainment and media1369Not measuredOnly Claude Haiku 4.5 measured
LMArena Document1420Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Haiku 4.5 and Mistral Nemo
BenchmarkClaude Haiku 4.5Mistral NemoLeader
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

Claude Haiku 4.5$0.0035Fits in one request
Mistral Nemo$0.0002Fits in one request

Mistral Nemo costs less

Repository review

50K input + 3K output tokens

Claude Haiku 4.5$0.065Fits in one request
Mistral Nemo$0.0080Fits in one request

Mistral Nemo costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 4.5$0.250Exceeds the context window
Mistral Nemo$0.032Exceeds the context window

Mistral Nemo 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 Claude Haiku 4.5 and Mistral Nemo
SpecificationAnthropic Claude Haiku 4.5Mistral Nemo
MakerAnthropicMistral AI
WeightsNo public weights listedOpen weights
ReleasedOctober 15, 2025July 19, 2024
Context window200K131K
Input $/Mtok$1.00$0.15
Output $/Mtok$5.00$0.15
Coding index35.6Not benchmarked
Independent measurements behind it40
Cost per solved task$0.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 4.5 better than Mistral Nemo for coding?

Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; Mistral Nemo has none, so the two cannot be ranked on coding. Pick Mistral Nemo for output tokens 33.3x cheaper ($0.15 vs $5.00 per million).

Which is cheaper, Claude Haiku 4.5 or Mistral Nemo?

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Mistral Nemo costs $0.15 and $0.15. Cost per solved task is known for Claude Haiku 4.5 only.

Which has the bigger context window, Claude Haiku 4.5 or Mistral Nemo?

Claude Haiku 4.5, with 200K tokens against 131K.

How many benchmarks is the Claude Haiku 4.5 vs Mistral Nemo comparison based on?

2 benchmarks have a result for both models as of October 21, 2026. Claude Haiku 4.5's coding index rests on 4 independent benchmarks and Mistral Nemo's on 0. Where only one model has a result, the page says so instead of naming a winner.

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