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Qwen3 Coder Next vs Llama 3.1 Euryale 70B v2.2

Qwen3 Coder Next and Llama 3.1 Euryale 70B v2.2 cost about the same per output token ($0.80 vs $0.85 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace Qwen3 Coder Next Replace Llama 3.1 Euryale 70B v2.2
Qwen3 Coder NextQwen
Coding
No data
Overall
No data
Output $/M
$0.80
S Llama 3.1 Euryale 70B v2.2Sao10K
Coding
No data
Overall
No data
Output $/M
$0.85
vs $0.80 vs $0.85 per 1M output tokens. Qwen3 Coder Next is 1.1x cheaper.

Qwen3 Coder Next or Llama 3.1 Euryale 70B v2.2: which to pick

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

Pick Qwen3 Coder Next for output tokens 1.1x cheaper ($0.80 vs $0.85 per million) and a larger context window (262K against 131K tokens).

Model AQwen3 Coder NextQwenNot benchmarkedNo coding benchmarkNo cost per solved taskModel BLlama 3.1 Euryale 70B v2.2Sao10KNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Qwen3 Coder Next has results on AA Coding Index, SciCode and Terminal-Bench Hard (Artificial Analysis run); Llama 3.1 Euryale 70B v2.2 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 Coder Next not benchmarked, Llama 3.1 Euryale 70B v2.2 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 Coder Next $0.80 against Llama 3.1 Euryale 70B v2.2 $0.85 per million output tokens, 1.1x apart.
Context window
Qwen3 Coder Next takes 262K tokens, Llama 3.1 Euryale 70B v2.2 131K.

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 Index4 boards measured
Coding benchmarks for Qwen3 Coder Next and Llama 3.1 Euryale 70B v2.2
BenchmarkQwen3 Coder NextLlama 3.1 Euryale 70B v2.2Leader
AA Coding Index36.2Not measuredOnly Qwen3 Coder Next measured
SciCode36.2%Not measuredOnly Qwen3 Coder Next measured
Terminal-Bench Hard (Artificial Analysis run)18.2%Not measuredOnly Qwen3 Coder Next measured
WeirdML34.4%Not measuredOnly Qwen3 Coder Next measured
Neither model has a result on the other 35 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Qwen3 Coder Next and Llama 3.1 Euryale 70B v2.2
BenchmarkQwen3 Coder NextLlama 3.1 Euryale 70B v2.2Leader
AA Intelligence Index9.2Not measuredOnly 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 measured
Agentic work benchmarks for Qwen3 Coder Next and Llama 3.1 Euryale 70B v2.2
BenchmarkQwen3 Coder NextLlama 3.1 Euryale 70B v2.2Leader
AA Agentic Index0.9Not measuredOnly Qwen3 Coder Next measured
τ²-Bench Telecom79.5%Not measuredOnly Qwen3 Coder Next measured
Neither model has a result on the other 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for Qwen3 Coder Next and Llama 3.1 Euryale 70B v2.2
BenchmarkQwen3 Coder NextLlama 3.1 Euryale 70B v2.2Leader
GPQA Diamond (Artificial Analysis run)73.7%Not measuredOnly Qwen3 Coder Next measured
Humanity's Last Exam (Artificial Analysis run)10.1%Not measuredOnly Qwen3 Coder Next measured
Neither model has a result on the other 20 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
General benchmarks for Qwen3 Coder Next and Llama 3.1 Euryale 70B v2.2
BenchmarkQwen3 Coder NextLlama 3.1 Euryale 70B v2.2Leader
IFBench35.2%Not measuredOnly Qwen3 Coder Next measured
Long context reasoning (AA-LCR)47.0%Not measuredOnly Qwen3 Coder Next 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

Qwen3 Coder Next$0.0005Fits in one request
Llama 3.1 Euryale 70B v2.2$0.0013Fits in one request

Qwen3 Coder Next costs less

Repository review

50K input + 3K output tokens

Qwen3 Coder Next$0.0084Fits in one request
Llama 3.1 Euryale 70B v2.2$0.045Fits in one request

Qwen3 Coder Next costs less

Agent loop

200K input + 10K output tokens

Qwen3 Coder Next$0.032Fits in one request
Llama 3.1 Euryale 70B v2.2$0.178Exceeds the context window

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.

Specifications of Qwen3 Coder Next and Llama 3.1 Euryale 70B v2.2
SpecificationQwen3 Coder NextSao10K Llama 3.1 Euryale 70B v2.2
MakerQwenSao10K
WeightsOpen weightsOpen weights
ReleasedFebruary 4, 2026August 28, 2024
Context window262K131K
Input $/Mtok$0.12$0.85
Output $/Mtok$0.80$0.85
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3 Coder Next better than Llama 3.1 Euryale 70B v2.2 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3 Coder Next for output tokens 1.1x cheaper ($0.80 vs $0.85 per million) and a larger context window (262K against 131K tokens).

Which is cheaper, Qwen3 Coder Next or Llama 3.1 Euryale 70B v2.2?

Qwen3 Coder Next costs $0.12 per million input tokens and $0.80 per million output tokens; Llama 3.1 Euryale 70B v2.2 costs $0.85 and $0.85. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen3 Coder Next or Llama 3.1 Euryale 70B v2.2?

Qwen3 Coder Next, with 262K tokens against 131K.

Has any benchmark tested both Qwen3 Coder Next and Llama 3.1 Euryale 70B v2.2?

No benchmark has tested both yet. Qwen3 Coder Next has results on AA Coding Index, SciCode and Terminal-Bench Hard (Artificial Analysis run); Llama 3.1 Euryale 70B v2.2 has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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