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Meta Llama 3.1 8B Instruct Turbo vs Qwen3.6 27B

Meta Llama 3.1 8B Instruct Turbo has the stronger public benchmark scores. Meta Llama 3.1 8B Instruct Turbo costs 98% less for the same work.

Meta Llama 3.1 8B Instruct Turbo

by Meta · #67 of 67 overall

Coming soon · price at launch
Context
128K
Input / 1M
$0.020
Output / 1M
$0.040

Qwen3.6 27B

by Qwen

Coming soon · price at launch
Context
256K
Input / 1M
$0.32
Output / 1M
$3.20

Better overall

Meta Llama 3.1 8B Instruct Turbo

Grade 0.0 vs —

Cheaper

Meta Llama 3.1 8B Instruct Turbo

98% less, $0.025 vs $1.04 blended

Larger context

Qwen3.6 27B

128K vs 256K tokens

Head to head

Public benchmarks. Longer is better; each value links to its source.

LMArena TextElo-style rating · LMArena (CC BY 4.0) · Oct 15, 2026
Meta Llama 3.1 8B Instruct TurboMeta Llama 3.1 8B Instruct Turbo: 1,211
Qwen3.6 27BQwen3.6 27B: —
LMArena CodingElo-style rating · LMArena (CC BY 4.0) · Oct 15, 2026
Meta Llama 3.1 8B Instruct TurboMeta Llama 3.1 8B Instruct Turbo: 1,260
Qwen3.6 27BQwen3.6 27B: —
SWE-bench Verified% of issues resolved · SWE-bench · Apr 21, 2026 · reference
Meta Llama 3.1 8B Instruct TurboMeta Llama 3.1 8B Instruct Turbo: —
SWE-Bench Pro% of tasks resolved · Scale AI SWE-Bench Pro · Apr 21, 2026 · reference
Meta Llama 3.1 8B Instruct TurboMeta Llama 3.1 8B Instruct Turbo: —
Terminal-Bench 2.1% of tasks passed · Terminal-Bench · Aug 5, 2026 · reference
Meta Llama 3.1 8B Instruct TurboMeta Llama 3.1 8B Instruct Turbo: —
Terminal-Bench 2.0% of tasks passed · Terminal-Bench · Apr 21, 2026 · reference
Meta Llama 3.1 8B Instruct TurboMeta Llama 3.1 8B Instruct Turbo: —
LiveCodeBenchpass@1, % · LiveCodeBench · Apr 21, 2026 · reference
Meta Llama 3.1 8B Instruct TurboMeta Llama 3.1 8B Instruct Turbo: —

Meta Llama 3.1 8B Instruct TurboQwen3.6 27Bv = reported by the model’s maker. — = no public score yet. Arena bars span the range across every model we grade.

What it costs you

Drag to match your monthly usage.

Meta Llama 3.1 8B Instruct Turbo$5.60 /month
Qwen3.6 27B$192 /month

Meta Llama 3.1 8B Instruct Turbo saves you $186 a month at this usage, $2,237 a year.

At a glance

AttributeMeta Llama 3.1 8B Instruct TurboQwen3.6 27B
Made byMetaQwen
AvailabilityComing soonComing soon
Overall gradeGood · 0.0Not rated
Overall rank#67 of 67Not ranked
Input price$0.020 per 1M$0.32 per 1M
Output price$0.040 per 1M$3.20 per 1M
Context window131,072 tokens262,144 tokens
Reasoning levelsNoYes
Reads imagesNoYes
Model IDmeta-llama-3.1-8b-instruct-turboqwen3.6-27b

Try both with one key

Same endpoint, same key, both hosted in the USA. Change one word to switch models, in Claude Code, Cursor, Cline or your own code.

Get your API key
# Ask either model the same thing
curl https://fullsendai.com/v1/chat/completions \
  -H "Authorization: Bearer $FULLSEND_API_KEY" \
  -d '{"model": "meta-llama-3.1-8b-instruct-turbo", "messages": [...]}'

# …then swap one word
  -d '{"model": "qwen3.6-27b", "messages": [...]}'

Questions

Is Meta Llama 3.1 8B Instruct Turbo or Qwen3.6 27B better?

One of them doesn’t have enough public benchmark scores to be graded yet; compare the benchmarks both have above.

Which is cheaper, Meta Llama 3.1 8B Instruct Turbo or Qwen3.6 27B?

Meta Llama 3.1 8B Instruct Turbo: $0.020 in and $0.040 out per million tokens, against $0.32 and $3.20 through FullsendAI.

Which has the larger context window?

Qwen3.6 27B, with 262,144 tokens.

Can I use both with one API key?

Yes, once they launch: both are coming soon, at the prices shown, and both will use the same FullsendAI key.

Model rankingsAll benchmarksCompare other models

Scores: LMArena (CC BY 4.0), SWE-bench, Scale AI SWE-Bench Pro, Terminal-Bench, LiveCodeBench, and model makers’ published results where marked v. Prices are FullsendAI’s, per million tokens. Data as of Oct 28, 2026.