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Claude Haiku 4.5 vs Command R (08-2024)

Command R (08-2024) costs 8.3x less per output token than Claude Haiku 4.5 ($0.60 vs $5.00 per million). Updated October 21, 2026; 25 benchmarks have a result for both.

Claude Haiku 4.5Anthropic
Coding
35.6
Overall
41.0
Output $/M
$5.00
25
Command R (08-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.60
0
vs boards won of 25 shared

Claude Haiku 4.5 or Command R (08-2024): which to pick

Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; Command R (08-2024) has none, so the two cannot be ranked on coding.

Pick Command R (08-2024) for output tokens 8.3x cheaper ($0.60 vs $5.00 per million).

Shared results
25
Claude Haiku 4.5 only
70
Command R (08-2024) 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
Claude Haiku 4.5 35.6 from 4 benchmarks, Command R (08-2024) not benchmarked.
Widest category
Coding, 42.4 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: expert: Claude Haiku 4.5 1443 against Command R (08-2024) 1173, 45.0 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against Command R (08-2024) $0.60 per million output tokens, 8.3x apart.
Context window
Claude Haiku 4.5 takes 200K tokens, Command R (08-2024) 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
CategoryClaude Haiku 4.5BarsCommand R (08-2024)Ties
Coding20
Reasoning30
Math20
Knowledge40
General140
All shared boards250
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Haiku 4.5 and Command R (08-2024)
BenchmarkClaude Haiku 4.5Command R (08-2024)Leader
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: coding14541187Claude Haiku 4.5
LMArena Text: software and IT14391197Claude Haiku 4.5
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
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Haiku 4.5 and Command R (08-2024)
BenchmarkClaude Haiku 4.5Command R (08-2024)Leader
AA Intelligence Index16.9Not measuredOnly Claude Haiku 4.5 measured
Epoch Capabilities Index142.2Not measuredOnly Claude Haiku 4.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Claude Haiku 4.5 and Command R (08-2024)
BenchmarkClaude Haiku 4.5Command R (08-2024)Leader
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
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Claude Haiku 4.5 and Command R (08-2024)
BenchmarkClaude Haiku 4.5Command R (08-2024)Leader
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 prompts14211186Claude Haiku 4.5
LMArena Text: expert14431173Claude Haiku 4.5
LMArena Text: hard prompts in English14351194Claude Haiku 4.5
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Haiku 4.5 and Command R (08-2024)
BenchmarkClaude Haiku 4.5Command R (08-2024)Leader
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: math13981188Claude Haiku 4.5
LMArena Text: mathematical work14301198Claude Haiku 4.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Haiku 4.5 and Command R (08-2024)
BenchmarkClaude Haiku 4.5Command R (08-2024)Leader
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
LMArena Text: science14061252Claude Haiku 4.5
LMArena Text: medicine and healthcare13941238Claude Haiku 4.5
LMArena Text: legal and government14001268Claude Haiku 4.5
LMArena Text: business and finance14001215Claude Haiku 4.5
Neither model has a result on the other 5 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 Command R (08-2024)
BenchmarkClaude Haiku 4.5Command R (08-2024)Leader
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 index140
General benchmarks for Claude Haiku 4.5 and Command R (08-2024)
BenchmarkClaude Haiku 4.5Command R (08-2024)Leader
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%Not measuredOnly Claude Haiku 4.5 measured
LMCA30.9%Not measuredOnly Claude Haiku 4.5 measured
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text13971229Claude Haiku 4.5
LMArena Text: instruction following14141197Claude Haiku 4.5
LMArena Text: creative writing13711234Claude Haiku 4.5
LMArena Text: English14141238Claude Haiku 4.5
LMArena Text: non-English13771216Claude Haiku 4.5
LMArena Text: Chinese14181227Claude Haiku 4.5
LMArena Text: German13741216Claude Haiku 4.5
LMArena Text: Japanese13381166Claude Haiku 4.5
LMArena Text: Korean13461162Claude Haiku 4.5
LMArena Text: French1411Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Spanish1421Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Russian13811227Claude Haiku 4.5
LMArena Text: Polish1343Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: multi-turn14091213Claude Haiku 4.5
LMArena Text: longer queries14271230Claude Haiku 4.5
LMArena Text: writing and language13861241Claude Haiku 4.5
LMArena Text: entertainment and media13691223Claude Haiku 4.5
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 Command R (08-2024)
BenchmarkClaude Haiku 4.5Command R (08-2024)Leader
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
Command R (08-2024)$0.0004Fits in one request

Command R (08-2024) costs less

Repository review

50K input + 3K output tokens

Claude Haiku 4.5$0.065Fits in one request
Command R (08-2024)$0.0093Fits in one request

Command R (08-2024) costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 4.5$0.250Exceeds the context window
Command R (08-2024)$0.036Exceeds the context window

Command R (08-2024) 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 Command R (08-2024)
SpecificationAnthropic Claude Haiku 4.5Cohere Command R (08-2024)
MakerAnthropicCohere
WeightsNo public weights listedNo public weights listed
ReleasedOctober 15, 2025August 30, 2024
Context window200K128K
Input $/Mtok$1.00$0.15
Output $/Mtok$5.00$0.60
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 Command R (08-2024) for coding?

Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; Command R (08-2024) has none, so the two cannot be ranked on coding. Pick Command R (08-2024) for output tokens 8.3x cheaper ($0.60 vs $5.00 per million).

Which is cheaper, Claude Haiku 4.5 or Command R (08-2024)?

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Command R (08-2024) costs $0.15 and $0.60. Cost per solved task is known for Claude Haiku 4.5 only.

Which has the bigger context window, Claude Haiku 4.5 or Command R (08-2024)?

Claude Haiku 4.5, with 200K tokens against 128K.

How many benchmarks is the Claude Haiku 4.5 vs Command R (08-2024) comparison based on?

25 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 Command R (08-2024)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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