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Qwen2.5 7B Instruct vs Relace Apply 3

Qwen2.5 7B Instruct costs 6.3x less per output token than Relace Apply 3 ($0.20 vs $1.25 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Replace Qwen2.5 7B Instruct Replace Relace Apply 3
Qwen2.5 7B InstructQwen
Coding
No data
Overall
No data
Output $/M
$0.20
Relace Apply 3Relace
Coding
No data
Overall
No data
Output $/M
$1.25
vs $0.20 vs $1.25 per 1M output tokens. Qwen2.5 7B Instruct is 6.3x cheaper.

Qwen2.5 7B Instruct or Relace Apply 3: which to pick

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

Pick Qwen2.5 7B Instruct for output tokens 6.3x cheaper ($0.20 vs $1.25 per million).

Model AQwen2.5 7B InstructQwenNot benchmarkedNo coding benchmarkNo cost per solved taskModel BRelace Apply 3RelaceNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Qwen2.5 7B Instruct has results on Epoch Capabilities Index, BALROG and GPQA Diamond (Epoch AI run); Relace Apply 3 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
Qwen2.5 7B Instruct not benchmarked, Relace Apply 3 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
Qwen2.5 7B Instruct $0.20 against Relace Apply 3 $1.25 per million output tokens, 6.3x apart.
Context window
Qwen2.5 7B Instruct takes 33K tokens, Relace Apply 3 256K.

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.

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Qwen2.5 7B Instruct and Relace Apply 3
BenchmarkQwen2.5 7B InstructRelace Apply 3Leader
Epoch Capabilities Index118.5Not measuredOnly Qwen2.5 7B 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 Qwen2.5 7B Instruct and Relace Apply 3
BenchmarkQwen2.5 7B InstructRelace Apply 3Leader
BALROG7.8%Not measuredOnly Qwen2.5 7B Instruct measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Reasoning benchmarks for Qwen2.5 7B Instruct and Relace Apply 3
BenchmarkQwen2.5 7B InstructRelace Apply 3Leader
GPQA Diamond (Epoch AI run)35.5%Not measuredOnly Qwen2.5 7B Instruct measured
Neither model has a result on the other 21 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Math benchmarks for Qwen2.5 7B Instruct and Relace Apply 3
BenchmarkQwen2.5 7B InstructRelace Apply 3Leader
OTIS Mock AIME2.5%Not measuredOnly Qwen2.5 7B 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 Qwen2.5 7B Instruct and Relace Apply 3
BenchmarkQwen2.5 7B InstructRelace Apply 3Leader
MMLU72.9%Not measuredOnly Qwen2.5 7B Instruct measured
Neither model has a result on the other 17 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
General benchmarks for Qwen2.5 7B Instruct and Relace Apply 3
BenchmarkQwen2.5 7B InstructRelace Apply 3Leader
DTBench47.7%Not measuredOnly Qwen2.5 7B Instruct measured
LMCA6.4%Not measuredOnly Qwen2.5 7B Instruct measured
Neither model has a result on the other 44 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

Qwen2.5 7B Instruct$0.0002Fits in one request
Relace Apply 3$0.0015Fits in one request

Qwen2.5 7B Instruct costs less

Repository review

50K input + 3K output tokens

Qwen2.5 7B Instruct$0.0056Exceeds the context window
Relace Apply 3$0.046Fits in one request

Qwen2.5 7B Instruct costs less

Agent loop

200K input + 10K output tokens

Qwen2.5 7B Instruct$0.022Exceeds the context window
Relace Apply 3$0.182Fits in one request

Qwen2.5 7B 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 Qwen2.5 7B Instruct and Relace Apply 3
SpecificationQwen2.5 7B InstructRelace Apply 3
MakerQwenRelace
WeightsOpen weightsNo public weights listed
ReleasedOctober 16, 2024September 26, 2025
Context window33K256K
Input $/Mtok$0.10$0.85
Output $/Mtok$0.20$1.25
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen2.5 7B Instruct better than Relace Apply 3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen2.5 7B Instruct for output tokens 6.3x cheaper ($0.20 vs $1.25 per million).

Which is cheaper, Qwen2.5 7B Instruct or Relace Apply 3?

Qwen2.5 7B Instruct costs $0.10 per million input tokens and $0.20 per million output tokens; Relace Apply 3 costs $0.85 and $1.25. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen2.5 7B Instruct or Relace Apply 3?

Relace Apply 3, with 256K tokens against 33K.

Has any benchmark tested both Qwen2.5 7B Instruct and Relace Apply 3?

No benchmark has tested both yet. Qwen2.5 7B Instruct has results on Epoch Capabilities Index, BALROG and GPQA Diamond (Epoch AI run); Relace Apply 3 has none yet. Compare them on price and context instead. Data as of October 21, 2026.

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