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Granite 4.2 8B vs Llama 3.3 70B Instruct Turbo

Llama 3.3 70B Instruct Turbo grades higher overall (33.7 against 30.8). Granite 4.2 8B costs 31% less for the same work, and both read a 128K-token context.

Granite 4.2 8B

by IBM · #62 of 67 overall

Coming soon · price at launch
Context
128K
Input / 1M
$0.060
Output / 1M
$0.25

Llama 3.3 70B Instruct Turbo

by Meta · #60 of 67 overall

Coming soon · price at launch
Context
128K
Input / 1M
$0.10
Output / 1M
$0.32

Better overall

Llama 3.3 70B Instruct Turbo

Grade 30.8 vs 33.7

Cheaper

Granite 4.2 8B

31% less, $0.11 vs $0.15 blended

Larger context

Same

128K vs 128K 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
Granite 4.2 8BGranite 4.2 8B: 1,290
Llama 3.3 70B Instruct TurboLlama 3.3 70B Instruct Turbo: 1,318
LMArena CodingElo-style rating · LMArena (CC BY 4.0) · Oct 15, 2026
Granite 4.2 8BGranite 4.2 8B: 1,370
Llama 3.3 70B Instruct TurboLlama 3.3 70B Instruct Turbo: 1,346
SWE-bench Verified% of issues resolved · SWE-bench · Aug 25, 2026 · reference
Granite 4.2 8BGranite 4.2 8B: 47.7%v
Llama 3.3 70B Instruct TurboLlama 3.3 70B Instruct Turbo: —
SWE-Bench Pro% of tasks resolved · Scale AI SWE-Bench Pro · Aug 25, 2026 · reference
Granite 4.2 8BGranite 4.2 8B: 19.1%v
Llama 3.3 70B Instruct TurboLlama 3.3 70B Instruct Turbo: —
Terminal-Bench 2.1% of tasks passed · Terminal-Bench · Aug 25, 2026 · reference
Granite 4.2 8BGranite 4.2 8B: 20.6%v
Llama 3.3 70B Instruct TurboLlama 3.3 70B Instruct Turbo: —
LiveCodeBenchpass@1, % · LiveCodeBench · Aug 7, 2026 · reference
Granite 4.2 8BGranite 4.2 8B: 73.2%v
Llama 3.3 70B Instruct TurboLlama 3.3 70B Instruct Turbo: —

Granite 4.2 8BLlama 3.3 70B Instruct Turbov = 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.

Granite 4.2 8B$22.00 /month
Llama 3.3 70B Instruct Turbo$32.80 /month

Granite 4.2 8B saves you $10.80 a month at this usage, $130 a year.

At a glance

AttributeGranite 4.2 8BLlama 3.3 70B Instruct Turbo
Made byIBMMeta
AvailabilityComing soonComing soon
Overall gradeGood · 30.8Good · 33.7
Overall rank#62 of 67#60 of 67
Input price$0.060 per 1M$0.10 per 1M
Output price$0.25 per 1M$0.32 per 1M
Context window131,072 tokens131,072 tokens
Reasoning levelsNoNo
Reads imagesNoNo
Model IDgranite-4.2-8bllama-3.3-70b-instruct-turbo

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": "granite-4.2-8b", "messages": [...]}'

# …then swap one word
  -d '{"model": "llama-3.3-70b-instruct-turbo", "messages": [...]}'

Questions

Is Granite 4.2 8B or Llama 3.3 70B Instruct Turbo better?

Llama 3.3 70B Instruct Turbo grades 33.7 against 30.8 for Granite 4.2 8B, from public benchmarks.

Which is cheaper, Granite 4.2 8B or Llama 3.3 70B Instruct Turbo?

Granite 4.2 8B: $0.060 in and $0.25 out per million tokens, against $0.10 and $0.32 through FullsendAI.

Which has the larger context window?

Neither: both take 131,072 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.

Compare with others

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.