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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. AI21: Jamba Large 1.7 vs Llama 4 Scout

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

AI21: Jamba Large 1.7 vs Llama 4 Scout benchmark

In this head-to-head showdown, Llama 4 Scout is more budget-friendly at $0.3/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose AI21: Jamba Large 1.7 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Llama 4 Scout if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

Llama 4 Scout holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
Llama 4 ScoutTop code solve rate
ReasoningGPQA / Live
Llama 4 ScoutTop logical accuracy
Best Value$/1M Tok
Llama 4 ScoutLowest API billing cost
Speed / TokTok/Sec
Llama 4 ScoutFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

AI21: Jamba Large 1.7 (0)Llama 4 Scout (3)
AI21: Jamba Large 1.7
0 of 3 Wins
Competitive baseline across remaining benchmarks
Llama 4 Scout
3 of 3 Wins
✓Input price✓Output price✓Context window
ai21
AI21: Jamba Large 1.7

Auto-discovered from OpenRouter (ai21/jamba-large-1.7). Preview until a second source matches.

In: $2 · Out: $8/1M
Meta
Leads 3 of 3
Llama 4 Scout

Meta open-weight Llama 4 long-context sibling of Maverick. Common public API lists sit near $0.08–$0.30 / $0.30–$0.70 per 1M; we store a conservative hosted list until OpenRouter overwrites.

Scout 10M CtxElo 1,412In: $0.1 · Out: $0.3/1M
Top Rival Showdowns for AI21: Jamba Large 1.7
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderLlama 4 Scout Wins

Llama 4 Scout

$0.3 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

AI21: Jamba Large 1.7 (0)vsLlama 4 Scout (10)
AI21: Jamba Large 1.7: 0W (0%)Overall: Llama 4 ScoutLlama 4 Scout: 10W (100%)
← AI21: Jamba Large 1.7Llama 4 Scout →
🏆Llama 4 Scout Leads(5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark
AI21: Jamba Large 1.7vsLlama 4 Scout
Preference Elo
—vs1,412
Coding Elo
—vs1,398
SWE-bench
—vs52.4%
LiveBench
—vs59.6%
GPQA Diamond
—vs71.2%
AI21: Jamba Large 1.7: 0WLlama 4 Scout: 5W
🏆Llama 4 Scout Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
AI21: Jamba Large 1.7vsLlama 4 Scout
Output speed
—vs155 tok/s
Time to first token
—vs130 ms
AI21: Jamba Large 1.7: 0WLlama 4 Scout: 2W
🏆Llama 4 Scout Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
AI21: Jamba Large 1.7vsLlama 4 Scout
Output price
$8/1Mvs$0.3/1M+$7.7/1M
Input price
$2/1Mvs$0.1/1M+$1.9/1M
Context window
256kvs1.3M+1.1M
AI21: Jamba Large 1.7: 0WLlama 4 Scout: 3W

Side-by-Side Benchmark Matrix

AI21: Jamba Large 1.7Llama 4 Scout
Preference Elo
AI21: Jamba Large 1.7—
Llama 4 Scout1,412
Coding Elo
AI21: Jamba Large 1.7—
Llama 4 Scout1,398
LiveBench
AI21: Jamba Large 1.7—
Llama 4 Scout59.6%
SWE-bench
AI21: Jamba Large 1.7—
Llama 4 Scout52.4%
GPQA Diamond
AI21: Jamba Large 1.7—
Llama 4 Scout71.2%
Time to first token
AI21: Jamba Large 1.7—
Llama 4 Scout130 ms
Output speed
AI21: Jamba Large 1.7—
Llama 4 Scout155 tok/s
Input priceLlama 4 Scout +$1.9/1M
AI21: Jamba Large 1.7$2/1M
Llama 4 Scout$0.1/1M
Output priceLlama 4 Scout +$7.7/1M
AI21: Jamba Large 1.7$8/1M
Llama 4 Scout$0.3/1M
Context windowLlama 4 Scout +1.1M
AI21: Jamba Large 1.7256k
Llama 4 Scout1.3M
BenchmarkAI21: Jamba Large 1.7Llama 4 ScoutAdvantage Delta
Preference Elo—
1,412
lmarena · Aug 16, 2026
—
Coding Elo—
1,398
lmarena · Aug 16, 2026
—
LiveBench—
59.6%
livebench · Aug 16, 2026
—
SWE-bench—
52.4%
swebench · Aug 16, 2026
—
GPQA Diamond—
71.2%
seed-bootstrap · Aug 16, 2026
—
Time to first token—
130 ms
seed-bootstrap · Aug 16, 2026
—
Output speed—
155 tok/s
seed-bootstrap · Aug 16, 2026
—
Input price
$2/1M
openrouter · Aug 17, 2026
$0.1/1M
openrouter · Aug 17, 2026
+$1.9/1M
Output price
$8/1M
openrouter · Aug 17, 2026
$0.3/1M
openrouter · Aug 17, 2026
+$7.7/1M
Context window
256k
openrouter · Aug 17, 2026
1.3M
openrouter · Aug 17, 2026
+1.1M

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 96% with Llama 4 Scout
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
AI21: Jamba Large 1.7$190.00 / mo
In: $70Out: $120
Llama 4 Scout$8.00 / mo
In: $3.5Out: $4.5
Estimated Cost Delta

Llama 4 Scout is estimated to save $182.00/month ($2,184/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Llama 4 Scout:Pick Llama 4 Scout when you are optimizing output cost.
  • 2
    Llama 4 Scout:Pick Llama 4 Scout for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatLlama 4 Scout

Lower output list price ($0.3/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGLlama 4 Scout

Larger window (1.3M).

Screenshots / visionLlama 4 Scout

Llama 4 Scout is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatLlama 4 ScoutLower output list price ($0.3/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGLlama 4 ScoutLarger window (1.3M).
Screenshots / visionLlama 4 ScoutLlama 4 Scout is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
compareAug 16, 2026

Haiku 4.5 vs Llama 4 Scout: cheap Claude versus cheap open Llama

$1/$5 hosted Claude vs a cheap long-context open sibling. The alternative-to-Sonnet pair that is honest.

launchApr 8, 2026

Llama 4 Scout: long-context open sibling of Maverick

Huge window, cheap hosted lists. The Haiku alternative that is actually open-weight.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
ai21

AI21: Jamba Large 1.7

Elo n/a
SWE-bench—
Speed (tok/s)256k
Input / 1M Tokens$2/1M
Output / 1M Tokens$8/1M
Meta

Llama 4 Scout

Elo 1,412
SWE-bench52.4%
Speed (tok/s)155 tok/s
Input / 1M Tokens$0.1/1M
Output / 1M Tokens$0.3/1M

Frequently Asked Questions

Which is better overall, AI21: Jamba Large 1.7 or Llama 4 Scout?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, AI21: Jamba Large 1.7 or Llama 4 Scout?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
Llama 4 Scout output tokens are $0.3/1M versus $8/1M. Input prices and retry rates still move the real bill.
Which is faster, AI21: Jamba Large 1.7 or Llama 4 Scout?
We do not have TTFT for both models.
Which has the larger context window?
Llama 4 Scout accepts 1.3M tokens versus 256k.
Can I self-host either model?
Llama 4 Scout is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. AI21: Jamba Large 1.7 and Llama 4 Scout Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • compare · Aug 16, 2026

    Haiku 4.5 vs Llama 4 Scout: cheap Claude versus cheap open Llama

  • launch · Apr 8, 2026

    Llama 4 Scout: long-context open sibling of Maverick

Similar Head-to-Head Comparisons

All AI21: Jamba Large 1.7 matchups →|All Llama 4 Scout matchups →
Llama 4 Scout vs Llama 4 Maverick (previous llama)Llama 3.3 70B vs Llama 4 ScoutLlama 3.1 70B vs Llama 4 ScoutLlama 3.1 405B vs Llama 4 ScoutClaude Opus 4.5 vs Llama 4 ScoutClaude Opus 4.6 vs Llama 4 Scout