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  3. Gemini 3.6 Pro vs AI21: Jamba Large 1.7

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

Gemini 3.6 Pro vs AI21: Jamba Large 1.7 benchmark

In this head-to-head showdown, Gemini 3.6 Pro is more budget-friendly at $5/1M 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: Both Gemini 3.6 Pro and AI21: Jamba Large 1.7 present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

Gemini 3.6 Pro holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
Gemini 3.6 ProTop code solve rate
ReasoningGPQA / Live
Gemini 3.6 ProTop logical accuracy
Best Value$/1M Tok
Gemini 3.6 ProLowest API billing cost
Speed / TokTok/Sec
Gemini 3.6 ProFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Gemini 3.6 Pro (3)AI21: Jamba Large 1.7 (0)
Gemini 3.6 Pro
3 of 3 Wins
✓Input price✓Output price✓Context window
AI21: Jamba Large 1.7
0 of 3 Wins
Competitive baseline across remaining benchmarks
Google
Leads 3 of 3
Gemini 3.6 Pro

Current Google Pro-class multimodal model. Long context, strong coding, billed like the 3.x Pro tier.

Elo 1,570In: $1.25 · Out: $5/1M
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

Gemini 3.6 Pro Thinking Depth & Cost Scaler

Model A

Simulate accuracy gains vs added response time & token cost

Mode: Medium (8k tokens)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Delay
205 ms
Standard
CoT Tokens
~2,400
Internal reasoning
Cost / 1k
$14.13
6.6× base bill
Accuracy Boost
+4.8%
STEM & Logic
Top Rival Showdowns for Gemini 3.6 Pro
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderGemini 3.6 Pro Wins

Gemini 3.6 Pro

$5 / 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.

Gemini 3.6 Pro (10)vsAI21: Jamba Large 1.7 (0)
Gemini 3.6 Pro: 10W (100%)Overall: Gemini 3.6 ProAI21: Jamba Large 1.7: 0W (0%)
← Gemini 3.6 ProAI21: Jamba Large 1.7 →
🏆Gemini 3.6 Pro Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Gemini 3.6 ProvsAI21: Jamba Large 1.7
Preference Elo
1,570vs—
Coding Elo
1,566vs—
SWE-bench
74.6%vs—
LiveBench
71.8%vs—
GPQA Diamond
84.4%vs—
Gemini 3.6 Pro: 5WAI21: Jamba Large 1.7: 0W
🏆Gemini 3.6 Pro Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 3.6 ProvsAI21: Jamba Large 1.7
Output speed
102 tok/svs—
Time to first token
205 msvs—
Gemini 3.6 Pro: 2WAI21: Jamba Large 1.7: 0W
🏆Gemini 3.6 Pro Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 3.6 ProvsAI21: Jamba Large 1.7
Output price
$5/1Mvs$8/1M+$3/1M
Input price
$1.25/1Mvs$2/1M+$0.75/1M
Context window
2Mvs256k+1.7M
Gemini 3.6 Pro: 3WAI21: Jamba Large 1.7: 0W

Side-by-Side Benchmark Matrix

Gemini 3.6 ProAI21: Jamba Large 1.7
Preference Elo
Gemini 3.6 Pro1,570
AI21: Jamba Large 1.7—
Coding Elo
Gemini 3.6 Pro1,566
AI21: Jamba Large 1.7—
LiveBench
Gemini 3.6 Pro71.8%
AI21: Jamba Large 1.7—
SWE-bench
Gemini 3.6 Pro74.6%
AI21: Jamba Large 1.7—
GPQA Diamond
Gemini 3.6 Pro84.4%
AI21: Jamba Large 1.7—
Time to first token
Gemini 3.6 Pro205 ms
AI21: Jamba Large 1.7—
Output speed
Gemini 3.6 Pro102 tok/s
AI21: Jamba Large 1.7—
Input priceGemini 3.6 Pro +$0.75/1M
Gemini 3.6 Pro$1.25/1M
AI21: Jamba Large 1.7$2/1M
Output priceGemini 3.6 Pro +$3/1M
Gemini 3.6 Pro$5/1M
AI21: Jamba Large 1.7$8/1M
Context windowGemini 3.6 Pro +1.7M
Gemini 3.6 Pro2M
AI21: Jamba Large 1.7256k
BenchmarkGemini 3.6 ProAI21: Jamba Large 1.7Advantage Delta
Preference Elo
1,570
lmarena · Aug 16, 2026
——
Coding Elo
1,566
lmarena · Aug 16, 2026
——
LiveBench
71.8%
livebench · Aug 16, 2026
——
SWE-bench
74.6%
swebench · Aug 16, 2026
——
GPQA Diamond
84.4%
seed-bootstrap · Aug 16, 2026
——
Time to first token
205 ms
seed-bootstrap · Aug 16, 2026
——
Output speed
102 tok/s
seed-bootstrap · Aug 16, 2026
——
Input price
$1.25/1M
seed-bootstrap · Aug 16, 2026
$2/1M
openrouter · Aug 17, 2026
+$0.75/1M
Output price
$5/1M
seed-bootstrap · Aug 16, 2026
$8/1M
openrouter · Aug 17, 2026
+$3/1M
Context window
2M
seed-bootstrap · Aug 16, 2026
256k
openrouter · Aug 17, 2026
+1.7M

Workload Cost & Savings Calculator

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

Save 38% with Gemini 3.6 Pro
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Gemini 3.6 Pro$118.75 / mo
In: $43.75Out: $75
AI21: Jamba Large 1.7$190.00 / mo
In: $70Out: $120
Estimated Cost Delta

Gemini 3.6 Pro is estimated to save $71.25/month ($855/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Gemini 3.6 Pro:Pick Gemini 3.6 Pro when you are optimizing output cost.
  • 2
    Gemini 3.6 Pro:Pick Gemini 3.6 Pro for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGemini 3.6 Pro

Lower output list price ($5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGemini 3.6 Pro

Larger window (2M).

Screenshots / visionGemini 3.6 Pro

Gemini 3.6 Pro is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatGemini 3.6 ProLower output list price ($5/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGemini 3.6 ProLarger window (2M).
Screenshots / visionGemini 3.6 ProGemini 3.6 Pro is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
compareAug 13, 2026

Gemini Flash vs Pro: when Flash is the whole product

3.7 Flash vs 3.6 Pro is the current Google volume-versus-upgrade pair.

compareJul 24, 2026

Claude vs Gemini: coding, Elo, and output price — not a brand mashup

Top Anthropic vs top Google. Usually Opus 5 vs 3.6 Pro. Two different invoices.

compareJul 16, 2026

Gemini vs GPT: long context versus the OpenAI flagship invoice

Hub remaps to top Google vs top OpenAI Elo. Usually 3.6 Pro vs Sol. Window vs price is the plot.

launchJul 15, 2026

Gemini 3.6 Pro: Google’s current Pro-class long-context row

2M context, Pro-class Elo and coding. Upgrade path from Flash is this page, not a vibe check.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Google

Gemini 3.6 Pro

Elo 1,570
SWE-bench74.6%
Speed (tok/s)102 tok/s
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$5/1M
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

Frequently Asked Questions

Which is better overall, Gemini 3.6 Pro or AI21: Jamba Large 1.7?
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, Gemini 3.6 Pro or AI21: Jamba Large 1.7?
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?
Gemini 3.6 Pro output tokens are $5/1M versus $8/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 3.6 Pro or AI21: Jamba Large 1.7?
We do not have TTFT for both models.
Which has the larger context window?
Gemini 3.6 Pro accepts 2M tokens versus 256k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
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. Gemini 3.6 Pro and AI21: Jamba Large 1.7 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • compare · Aug 13, 2026

    Gemini Flash vs Pro: when Flash is the whole product

  • compare · Jul 24, 2026

    Claude vs Gemini: coding, Elo, and output price — not a brand mashup

  • compare · Jul 16, 2026

    Gemini vs GPT: long context versus the OpenAI flagship invoice

  • launch · Jul 15, 2026

    Gemini 3.6 Pro: Google’s current Pro-class long-context row

Similar Head-to-Head Comparisons

All Gemini 3.6 Pro matchups →|All AI21: Jamba Large 1.7 matchups →
Gemini 3.6 Pro vs Gemini 3 Pro (previous gemini-pro)Gemini 3.7 Flash vs Gemini 3.6 ProGemini 3.6 Flash vs Gemini 3.6 ProGemini 3 Flash vs Gemini 3.6 ProGemini 2.0 Flash Thinking vs Gemini 3.6 ProClaude Opus 4.5 vs Gemini 3.6 Pro