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Granite 4.2 8B vs Meta Llama 3.1 70B Instruct Turbo

Granite 4.2 8B grades higher overall (30.8 against 26.8). Granite 4.2 8B costs 73% 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

Meta Llama 3.1 70B Instruct Turbo

by Meta · #63 of 67 overall

Coming soon · price at launch
Context
128K
Input / 1M
$0.40
Output / 1M
$0.40

Better overall

Granite 4.2 8B

Grade 30.8 vs 26.8

Cheaper

Granite 4.2 8B

73% less, $0.11 vs $0.40 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
Meta Llama 3.1 70B Instruct TurboMeta Llama 3.1 70B Instruct Turbo: 1,293
LMArena CodingElo-style rating · LMArena (CC BY 4.0) · Oct 15, 2026
Granite 4.2 8BGranite 4.2 8B: 1,370
Meta Llama 3.1 70B Instruct TurboMeta Llama 3.1 70B Instruct Turbo: 1,333
SWE-bench Verified% of issues resolved · SWE-bench · Aug 25, 2026 · reference
Granite 4.2 8BGranite 4.2 8B: 47.7%v
Meta Llama 3.1 70B Instruct TurboMeta Llama 3.1 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
Meta Llama 3.1 70B Instruct TurboMeta Llama 3.1 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
Meta Llama 3.1 70B Instruct TurboMeta Llama 3.1 70B Instruct Turbo: —
LiveCodeBenchpass@1, % · LiveCodeBench · Aug 7, 2026 · reference
Granite 4.2 8BGranite 4.2 8B: 73.2%v
Meta Llama 3.1 70B Instruct TurboMeta Llama 3.1 70B Instruct Turbo: —

Granite 4.2 8BMeta Llama 3.1 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
Meta Llama 3.1 70B Instruct Turbo$96.00 /month

Granite 4.2 8B saves you $74.00 a month at this usage, $888 a year.

At a glance

AttributeGranite 4.2 8BMeta Llama 3.1 70B Instruct Turbo
Made byIBMMeta
AvailabilityComing soonComing soon
Overall gradeGood · 30.8Good · 26.8
Overall rank#62 of 67#63 of 67
Input price$0.060 per 1M$0.40 per 1M
Output price$0.25 per 1M$0.40 per 1M
Context window131,072 tokens131,072 tokens
Reasoning levelsNoNo
Reads imagesNoNo
Model IDgranite-4.2-8bmeta-llama-3.1-70b-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": "meta-llama-3.1-70b-instruct-turbo", "messages": [...]}'

Questions

Is Granite 4.2 8B or Meta Llama 3.1 70B Instruct Turbo better?

Granite 4.2 8B grades 30.8 against 26.8 for Meta Llama 3.1 70B Instruct Turbo, from public benchmarks.

Which is cheaper, Granite 4.2 8B or Meta Llama 3.1 70B Instruct Turbo?

Granite 4.2 8B: $0.060 in and $0.25 out per million tokens, against $0.40 and $0.40 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.