Qwen3 Coder Next vs Relace Search
Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
- Coding
- No data
- Overall
- 9.2
- Output $/M
- $0.80
- Coding
- No data
- Overall
- No data
- Output $/M
- $3.00
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Qwen3 Coder Next has the edge where output tokens cost 3.8x less, and where the context window is larger, 262K against 256K tokens.
- Shared results
- 0
- Qwen3 Coder Next only
- 11
- Relace Search only
- 0
- Like-for-like categories
- 0 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Qwen3 Coder Next has a AA Intelligence Index result, 9.2.
Directional only
Agentic work
AA Agentic Index
No call
Only Qwen3 Coder Next has a AA Agentic Index result, 0.9.
Directional only
Long documents
Listed context window
Qwen3 Coder Next
Qwen3 Coder Next takes 262K tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Coder Next
Qwen3 Coder Next $0.0005, Relace Search $0.0025 per turn.
List prices
At a glance
- Coding index
- Qwen3 Coder Next not benchmarked, Relace Search not benchmarked.
- Widest category
- No category has a result for both models.
- Widest single gap
- No benchmark has a result for both models.
- Output price
- Qwen3 Coder Next $0.80 against Relace Search $3.00 per million output tokens, 3.8x apart.
- Context window
- Qwen3 Coder Next takes 262K tokens, Relace Search 256K.
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.
CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards, none shared
| Benchmark | Qwen3 Coder Next | Relace Search | Leader |
|---|---|---|---|
| AA Coding Index | 36.2 | Not measured | Only Qwen3 Coder Next measured |
| SciCode | 36.2% | Not measured | Only Qwen3 Coder Next measured |
| Terminal-Bench Hard (Artificial Analysis run) | 18.2% | Not measured | Only Qwen3 Coder Next measured |
| WeirdML | 34.4% | Not measured | Only Qwen3 Coder Next measured |
| 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
| Benchmark | Qwen3 Coder Next | Relace Search | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.2 | Not measured | Only Qwen3 Coder Next 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
| Benchmark | Qwen3 Coder Next | Relace Search | Leader |
|---|---|---|---|
| AA Agentic Index | 0.9 | Not measured | Only Qwen3 Coder Next measured |
| τ²-Bench Telecom | 79.5% | Not measured | Only Qwen3 Coder Next measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Qwen3 Coder Next | Relace Search | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 73.7% | Not measured | Only Qwen3 Coder Next measured |
| Humanity's Last Exam (Artificial Analysis run) | 10.1% | Not measured | Only Qwen3 Coder Next measured |
| Neither model has a result on the other 19 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3 Coder Next | Relace Search | Leader |
|---|---|---|---|
| Neither model has a result on 13 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3 Coder Next | Relace Search | Leader |
|---|---|---|---|
| Neither model has a result on 17 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3 Coder Next | Relace Search | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Qwen3 Coder Next | Relace Search | Leader |
|---|---|---|---|
| IFBench | 35.2% | Not measured | Only Qwen3 Coder Next measured |
| Long context reasoning (AA-LCR) | 47.0% | Not measured | Only Qwen3 Coder Next measured |
| Neither model has a result on the other 44 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3 Coder Next | Relace Search | 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
Qwen3 Coder Next costs less
Repository review
50K input + 3K output tokens
Qwen3 Coder Next costs less
Agent loop
200K input + 10K output tokens
Qwen3 Coder Next 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.
| Specification | Qwen3 Coder Next | Relace Search |
|---|---|---|
| Maker | Qwen | Relace |
| Weights | Open weights | No public weights listed |
| Released | February 4, 2026 | December 8, 2025 |
| Context window | 262K | 256K |
| Input $/Mtok | $0.12 | $1.00 |
| Output $/Mtok | $0.80 | $3.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3 Coder Next better than Relace Search for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Qwen3 Coder Next has the edge where output tokens cost 3.8x less, and where the context window is larger, 262K against 256K tokens.
Which is cheaper, Qwen3 Coder Next or Relace Search?
Qwen3 Coder Next costs $0.12 per million input tokens and $0.80 per million output tokens; Relace Search costs $1.00 and $3.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3 Coder Next or Relace Search?
Qwen3 Coder Next, with 262K tokens against 256K.
How many benchmarks is the Qwen3 Coder Next vs Relace Search comparison based on?
0 benchmarks have a result for both models as of October 21, 2026. Qwen3 Coder Next's coding index rests on 0 independent benchmarks and Relace Search's on 0. Where only one model has a result, the page says so instead of naming a winner.