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Qwen3 VL 30B A3B Instruct vs ReMM SLERP 13B

Qwen3 VL 30B A3B Instruct and ReMM SLERP 13B cost about the same per output token ($0.70 vs $0.65 per million). Updated October 23, 2026; no benchmark has tested both models yet.

Replace Qwen3 VL 30B A3B Instruct Replace ReMM SLERP 13B
Qwen3 VL 30B A3B InstructQwen
Coding
No data
Overall
No data
Output $/M
$0.70
U ReMM SLERP 13BUndi95
Coding
No data
Overall
No data
Output $/M
$0.65
vs $0.70 vs $0.65 per 1M output tokens. ReMM SLERP 13B is 1.1x cheaper.

Qwen3 VL 30B A3B Instruct or ReMM SLERP 13B: which to pick

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

Pick Qwen3 VL 30B A3B Instruct for a larger context window (262K against 6K tokens).

Model AQwen3 VL 30B A3B InstructQwenNot benchmarkedNo coding benchmarkNo cost per solved taskModel BReMM SLERP 13BUndi95Not benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Qwen3 VL 30B A3B Instruct has results on LiveCodeBench (Artificial Analysis run), Terminal-Bench Hard (Artificial Analysis run) and AA Intelligence Index; ReMM SLERP 13B has none yet. Compare them on price and context instead.

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
Qwen3 VL 30B A3B Instruct not benchmarked, ReMM SLERP 13B not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Qwen3 VL 30B A3B Instruct $0.70 against ReMM SLERP 13B $0.65 per million output tokens, 1.1x apart.
Context window
Qwen3 VL 30B A3B Instruct takes 262K tokens, ReMM SLERP 13B 6K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards measured
Coding benchmarks for Qwen3 VL 30B A3B Instruct and ReMM SLERP 13B
BenchmarkQwen3 VL 30B A3B InstructReMM SLERP 13BLeader
LiveCodeBench (Artificial Analysis run)69.7%Not measuredOnly Qwen3 VL 30B A3B Instruct measured
Terminal-Bench Hard (Artificial Analysis run)6.1%Not measuredOnly Qwen3 VL 30B A3B Instruct measured
Neither model has a result on the other 41 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Qwen3 VL 30B A3B Instruct and ReMM SLERP 13B
BenchmarkQwen3 VL 30B A3B InstructReMM SLERP 13BLeader
AA Intelligence Index7.9Not measuredOnly Qwen3 VL 30B A3B Instruct measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Agentic work benchmarks for Qwen3 VL 30B A3B Instruct and ReMM SLERP 13B
BenchmarkQwen3 VL 30B A3B InstructReMM SLERP 13BLeader
τ²-Bench Telecom19.9%Not measuredOnly Qwen3 VL 30B A3B Instruct measured
Neither model has a result on the other 41 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for Qwen3 VL 30B A3B Instruct and ReMM SLERP 13B
BenchmarkQwen3 VL 30B A3B InstructReMM SLERP 13BLeader
GPQA Diamond (Artificial Analysis run)72.0%Not measuredOnly Qwen3 VL 30B A3B Instruct measured
Humanity's Last Exam (Artificial Analysis run)8.9%Not measuredOnly Qwen3 VL 30B A3B Instruct measured
Neither model has a result on the other 21 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for Qwen3 VL 30B A3B Instruct and ReMM SLERP 13B
BenchmarkQwen3 VL 30B A3B InstructReMM SLERP 13BLeader
AA Math Index82.3Not measuredOnly Qwen3 VL 30B A3B Instruct measured
AIME 2025 (Artificial Analysis run)82.3%Not measuredOnly Qwen3 VL 30B A3B Instruct measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Knowledge benchmarks for Qwen3 VL 30B A3B Instruct and ReMM SLERP 13B
BenchmarkQwen3 VL 30B A3B InstructReMM SLERP 13BLeader
MMLU Pro (Artificial Analysis run)80.7%Not measuredOnly Qwen3 VL 30B A3B Instruct measured
Neither model has a result on the other 19 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
General benchmarks for Qwen3 VL 30B A3B Instruct and ReMM SLERP 13B
BenchmarkQwen3 VL 30B A3B InstructReMM SLERP 13BLeader
IFBench45.1%Not measuredOnly Qwen3 VL 30B A3B Instruct measured
Neither model has a result on the other 47 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

Qwen3 VL 30B A3B Instruct$0.0006Fits in one request
ReMM SLERP 13B$0.0007Fits in one request

Qwen3 VL 30B A3B Instruct costs less

Repository review

50K input + 3K output tokens

Qwen3 VL 30B A3B Instruct$0.012Fits in one request
ReMM SLERP 13B$0.019Exceeds the context window

Qwen3 VL 30B A3B Instruct costs less

Agent loop

200K input + 10K output tokens

Qwen3 VL 30B A3B Instruct$0.047Fits in one request
ReMM SLERP 13B$0.076Exceeds the context window

Qwen3 VL 30B A3B Instruct 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 Qwen3 VL 30B A3B Instruct and ReMM SLERP 13B
SpecificationQwen3 VL 30B A3B InstructReMM SLERP 13B
MakerQwenUndi95
WeightsOpen weightsOpen weights
ReleasedOctober 6, 2025July 22, 2023
Context window262K6K
Input $/Mtok$0.20$0.35
Output $/Mtok$0.70$0.65
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3 VL 30B A3B Instruct better than ReMM SLERP 13B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3 VL 30B A3B Instruct for a larger context window (262K against 6K tokens).

Which is cheaper, Qwen3 VL 30B A3B Instruct or ReMM SLERP 13B?

Qwen3 VL 30B A3B Instruct costs $0.20 per million input tokens and $0.70 per million output tokens; ReMM SLERP 13B costs $0.35 and $0.65. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen3 VL 30B A3B Instruct or ReMM SLERP 13B?

Qwen3 VL 30B A3B Instruct, with 262K tokens against 6K.

Has any benchmark tested both Qwen3 VL 30B A3B Instruct and ReMM SLERP 13B?

No benchmark has tested both yet. Qwen3 VL 30B A3B Instruct has results on LiveCodeBench (Artificial Analysis run), Terminal-Bench Hard (Artificial Analysis run) and AA Intelligence Index; ReMM SLERP 13B has none yet. Compare them on price and context instead. Data as of October 23, 2026.

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