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Command R (08-2024) vs Qwen3 30B A3B Instruct 2507

Qwen3 30B A3B Instruct 2507 costs 2.0x less per output token than Command R (08-2024) ($0.30 vs $0.60 per million). Updated October 22, 2026; 25 benchmarks have a result for both.

Replace Command R (08-2024) Replace Qwen3 30B A3B Instruct 2507
Command R (08-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.60
0
Qwen3 30B A3B Instruct 2507Qwen
Coding
No data
Overall
41.5
Output $/M
$0.30
25
vs boards won of 25 shared

Command R (08-2024) or Qwen3 30B A3B Instruct 2507: which to pick

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

Pick Command R (08-2024) for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model ACommand R (08-2024)CohereNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 30B A3B Instruct 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
25
Command R (08-2024) only
0
Qwen3 30B A3B Instruct 2507 only
20
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
Command R (08-2024) not benchmarked, Qwen3 30B A3B Instruct 2507 not benchmarked.
Widest category
Coding, 37.4 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: coding: Command R (08-2024) 1187 against Qwen3 30B A3B Instruct 2507 1416, 38.2 points apart on a 0 to 100 scale.
Output price
Command R (08-2024) $0.60 against Qwen3 30B A3B Instruct 2507 $0.30 per million output tokens, 2.0x apart.
Context window
Command R (08-2024) takes 128K tokens, Qwen3 30B A3B Instruct 2507 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
CategoryCommand R (08-2024)BarsQwen3 30B A3B Instruct 2507Ties
Coding02
Reasoning03
Math02
Knowledge04
General014
All shared boards025
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Command R (08-2024) and Qwen3 30B A3B Instruct 2507
BenchmarkCommand R (08-2024)Qwen3 30B A3B Instruct 2507Leader
LiveCodeBench (Artificial Analysis run)Not measured70.7%Only Qwen3 30B A3B Instruct 2507 measured
SciCodeNot measured33.0%Only Qwen3 30B A3B Instruct 2507 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured6.1%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: coding11871416Qwen3 30B A3B Instruct 2507
LMArena Text: software and IT11971417Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 34 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Command R (08-2024) and Qwen3 30B A3B Instruct 2507
BenchmarkCommand R (08-2024)Qwen3 30B A3B Instruct 2507Leader
AA Intelligence IndexNot measured7.5Only Qwen3 30B A3B Instruct 2507 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Command R (08-2024) and Qwen3 30B A3B Instruct 2507
BenchmarkCommand R (08-2024)Qwen3 30B A3B Instruct 2507Leader
τ²-Bench TelecomNot measured28.1%Only Qwen3 30B A3B Instruct 2507 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured41.4%Only Qwen3 30B A3B Instruct 2507 measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Command R (08-2024) and Qwen3 30B A3B Instruct 2507
BenchmarkCommand R (08-2024)Qwen3 30B A3B Instruct 2507Leader
GPQA Diamond (Artificial Analysis run)Not measured70.7%Only Qwen3 30B A3B Instruct 2507 measured
Humanity's Last Exam (Artificial Analysis run)Not measured10.3%Only Qwen3 30B A3B Instruct 2507 measured
GPQA Diamond (Epoch AI run)Not measured55.6%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: hard prompts11861398Qwen3 30B A3B Instruct 2507
LMArena Text: expert11731397Qwen3 30B A3B Instruct 2507
LMArena Text: hard prompts in English11941406Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Command R (08-2024) and Qwen3 30B A3B Instruct 2507
BenchmarkCommand R (08-2024)Qwen3 30B A3B Instruct 2507Leader
AA Math IndexNot measured66.3Only Qwen3 30B A3B Instruct 2507 measured
AIME 2025 (Artificial Analysis run)Not measured66.3%Only Qwen3 30B A3B Instruct 2507 measured
OTIS Mock AIMENot measured62.2%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: math11881394Qwen3 30B A3B Instruct 2507
LMArena Text: mathematical work11981411Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Command R (08-2024) and Qwen3 30B A3B Instruct 2507
BenchmarkCommand R (08-2024)Qwen3 30B A3B Instruct 2507Leader
MMLU Pro (Artificial Analysis run)Not measured80.5%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: science12521393Qwen3 30B A3B Instruct 2507
LMArena Text: medicine and healthcare12381392Qwen3 30B A3B Instruct 2507
LMArena Text: legal and government12681387Qwen3 30B A3B Instruct 2507
LMArena Text: business and finance12151389Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 13 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Command R (08-2024) and Qwen3 30B A3B Instruct 2507
BenchmarkCommand R (08-2024)Qwen3 30B A3B Instruct 2507Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
General benchmarks for Command R (08-2024) and Qwen3 30B A3B Instruct 2507
BenchmarkCommand R (08-2024)Qwen3 30B A3B Instruct 2507Leader
IFBenchNot measured50.7%Only Qwen3 30B A3B Instruct 2507 measured
Long context reasoning (AA-LCR)Not measured61.3%Only Qwen3 30B A3B Instruct 2507 measured
DTBenchNot measured67.2%Only Qwen3 30B A3B Instruct 2507 measured
LMCANot measured22.4%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text12291384Qwen3 30B A3B Instruct 2507
LMArena Text: instruction following11971363Qwen3 30B A3B Instruct 2507
LMArena Text: creative writing12341317Qwen3 30B A3B Instruct 2507
LMArena Text: English12381391Qwen3 30B A3B Instruct 2507
LMArena Text: non-English12161372Qwen3 30B A3B Instruct 2507
LMArena Text: Chinese12271432Qwen3 30B A3B Instruct 2507
LMArena Text: German12161379Qwen3 30B A3B Instruct 2507
LMArena Text: Japanese11661337Qwen3 30B A3B Instruct 2507
LMArena Text: Korean11621330Qwen3 30B A3B Instruct 2507
LMArena Text: FrenchNot measured1419Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: SpanishNot measured1404Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: Russian12271369Qwen3 30B A3B Instruct 2507
LMArena Text: PolishNot measured1353Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: multi-turn12131378Qwen3 30B A3B Instruct 2507
LMArena Text: longer queries12301378Qwen3 30B A3B Instruct 2507
LMArena Text: writing and language12411336Qwen3 30B A3B Instruct 2507
LMArena Text: entertainment and media12231334Qwen3 30B A3B Instruct 2507
Neither model has a result on the other 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Command R (08-2024) and Qwen3 30B A3B Instruct 2507
BenchmarkCommand R (08-2024)Qwen3 30B A3B Instruct 2507Leader
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

Command R (08-2024)$0.0004Fits in one request
Qwen3 30B A3B Instruct 2507$0.0002Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Repository review

50K input + 3K output tokens

Command R (08-2024)$0.0093Fits in one request
Qwen3 30B A3B Instruct 2507$0.0054Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Agent loop

200K input + 10K output tokens

Command R (08-2024)$0.036Exceeds the context window
Qwen3 30B A3B Instruct 2507$0.021Fits in one request

Qwen3 30B A3B Instruct 2507 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 Command R (08-2024) and Qwen3 30B A3B Instruct 2507
SpecificationCohere Command R (08-2024)Qwen3 30B A3B Instruct 2507
MakerCohereQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 30, 2024July 29, 2025
Context window128K262K
Input $/Mtok$0.15$0.09
Output $/Mtok$0.60$0.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command R (08-2024) better than Qwen3 30B A3B Instruct 2507 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Command R (08-2024) for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Command R (08-2024) or Qwen3 30B A3B Instruct 2507?

Command R (08-2024) costs $0.15 per million input tokens and $0.60 per million output tokens; Qwen3 30B A3B Instruct 2507 costs $0.09 and $0.30. Cost per solved task is known for neither of them.

Which has the bigger context window, Command R (08-2024) or Qwen3 30B A3B Instruct 2507?

Qwen3 30B A3B Instruct 2507, with 262K tokens against 128K.

How many benchmarks is the Command R (08-2024) vs Qwen3 30B A3B Instruct 2507 comparison based on?

25 benchmarks have a result for both models as of October 22, 2026. Command R (08-2024)'s coding index rests on 0 independent benchmarks and Qwen3 30B A3B Instruct 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

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