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Model comparison

Amazon Nova 2 Pro vs Gemini 3.8 Flash

Amazon against Google, compared on context, price, and attributed benchmark results.

Recorded profile verification October 2, 2026Individual provider fields may changeEvidence confidence: Medium — see receipts below

Amazon

Amazon Nova 2 Pro

Balanced

vs

Google

Gemini 3.8 Flash

Balanced

AI model capability comparison
SpecificationAmazon Nova 2 ProGemini 3.8 Flash
ProviderAmazonGoogle
TierBalancedBalanced
Context window1MWinner: 1.05M
Max outputNot verifiedUnverified66K
Input / 1M tokens$1.25Winner: $0.75
Output / 1M tokens$10Winner: $3.75
WeightsClosedClosed
ParametersNot verifiedUnverifiedNot verifiedUnverified
Reasoning levelslow, medium, highlow, medium, high
Modalitiestext, image, video, audiotext, image, video, audio, pdf
API model idNot verifiedUnverifiedgemini-3.8-flash
ReleasedDecember 2, 2025September 2, 2026
Artificial Analysis Intelligence Index [high] · source date Gemini 3.8 Flash: 2026-10-01Not verifiedUnverified41
Terminal-Bench 2.1 · source date Gemini 3.8 Flash: 2026-09-02Not verifiedUnverified89.4
HLE-Verified · source date Gemini 3.8 Flash: 2026-09-02Not verifiedUnverified54.9

Dates beside benchmark scores refer to the linked source’s publication or capture date unless that source explicitly states when it measured the result. A shared URL alone does not establish comparable runs; unverified setups are marked. Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

Where each score comes from, and how far it can be compared across models.

Pricing tiers

Amazon Nova 2 Pro: Bedrock Global Standard $1.25/$10 per MTok; single-region $1.375/$11. Global Flex/Batch $0.625/$5; Global Priority $2.1875/$17.50. These are native Nova 2.0 Pro meters in the September 30, 2026 offer file, not custom-model or training rates. No Pro cached-input meter is present in this snapshot. Price meters do not establish account access.

Gemini 3.8 Flash: Intro Standard $0.75/$3.75 per MTok through December 31, 2026; $1.50/$7.50 from January 1, 2027. Output includes thinking tokens. Cached input $0.075, rising to $0.15; storage $0.50/MTok-hour, rising to $1. Batch/Flex input/output are $0.375/$1.875, rising to $0.75/$3.75. Priority $1.35/$6.75, rising to $2.70/$13.50. Grounding tools have separate charges and quotas; free-tier limits differ from paid.

BalancedRecord checked October 2, 2026

Amazon Nova 2 Pro

Amazon's closed Nova 2 Pro preview accepts text, images, video and speech and generates text; its launch announcement specifies a one-million-token context.

Best for

  • AWS-native workloads
  • Multimodal
  • Long-context

Watch out

Preview access was announced for Nova Forge customers through their AWS account team. Current account access, a stable API model ID and a hard output cap remain unverified. Launch documentation names low/medium/high thinking; the current detailed thinking guide covers Lite only, so do not transfer its request rules to Pro. The October 1 Artificial Analysis 14-point Pro row is an estimate and is withheld. Omission from a current model list does not prove retirement.

BalancedRecord checked October 1, 2026

Gemini 3.8 Flash

Gemini 3.8 Flash is Google's multimodal Flash model for long-horizon software engineering and agent workflows, with current introductory API pricing through December 31, 2026.

Best for

  • Agentic coding at scale
  • Mid-difficulty engineering
  • Multimodal pipelines

Watch out

Intro rates and cache-storage prices double January 1, 2027. Google says 3.8 can use more tokens at higher effort; 3.7 remains supported for efficiency-first workloads. Minimal thinking errors. Computer use is Preview; native audio/image generation and Live API are unsupported. Restricted Flash Cyber is a separate endpoint with no public rate confirmed.

Benchmark

DeepSWE 1.1 in context

Only Gemini 3.8 Flash has a published DeepSWE 1.1 result. It is shown against the wider field, with cost per completed task alongside the score.

Local leader

GPT-6 Astra [xhigh]

74.1%

Rows shown

28

Best source-matched Pass@1 per model

Snapshot date

2026-10-01

Mirrored from deepswe.datacurve.ai

DeepSWE 1.1 pass@10%16%32%48%64%80%$0$4.50$9.00$13.50$18.00$22.50$27.00Avg cost per taskGPT-6 Astra [xhigh]: 74.1% · $4.43 · 30k tokens · 29 stepsGemini 3.8 Flash [high]: 73.8% · $2.36 · 143k tokens · 166 stepsClaude Opus 5 [max]: 73.6% · $11.84 · 118k tokens · 99 stepsGPT-5.6 Sol [max]: 72.7% · $8.39 · 60k tokens · 61 stepsClaude Fable 5 [xhigh]: 69.9% · $13.41 · 80k tokens · 68 stepsGPT-5.6 Terra [max]: 69.6% · $4.95 · 72k tokens · 76 stepsGLM 5.3 [max]: 69.0% · $3.99 · 80k tokens · 124 stepsKimi K3 [max]: 68.5% · $4.65 · 82k tokens · 98 stepsGrok 4.6 [medium]: 67.5% · $3.45 · 50k tokens · 70 stepsGPT-5.6 Luna [max]: 67.2% · $3.03 · 73k tokens · 102 stepsGPT-5.5 [xhigh]: 67.0% · $7.23 · 46k tokens · 82 stepsGemini 3.7 Flash [medium]: 65.5% · $2.03 · 94k tokens · 117 stepsGLM 5.3 Flash [max]: 63.4% · $0.48 · 73k tokens · 123 stepsDeepSeek V4-Pro [max]: 62.8% · $0.24 · 106k tokens · 155 stepsClaude Opus 4.8 [max]: 59.0% · $13.22 · 135k tokens · 120 stepsQwen3.8-Max [xhigh]: 57.5% · $3.73 · 95k tokens · 111 stepsMuse Spark 1.2 [xhigh]: 54.9% · $3.70 · 99k tokens · 101 stepsClaude Sonnet 5 [max]: 53.8% · $26.40 · 214k tokens · 268 stepsGrok 4.5 [high]: 53.8% · $2.42 · 36k tokens · 61 stepsDeepSeek V4-Flash [max]: 53.3% · $0.10 · 108k tokens · 153 stepsMuse Spark 1.1 [xhigh]: 53.3% · $2.36 · 74k tokens · 96 stepsGPT-5.4 [xhigh]: 51.8% · $5.65 · 71k tokens · 70 stepsGemini 3.6 Flash [high]: 46.7% · $4.42 · 96k tokens · 117 stepsGLM 5.2 [max]: 43.8% · $3.92 · 78k tokens · 129 stepsGemini 3.5 Flash [high]: 36.1% · $3.45 · 76k tokens · 105 stepsKimi K2.7 Code: 30.5% · $2.82 · 59k tokens · 149 stepsClaude Sonnet 4.6 [high]: 29.9% · $5.52 · 76k tokens · 134 stepsGemini 3.1 Pro [high]: 11.7% · $2.14 · 28k tokens · 76 steps

Better is toward the top-right (higher pass rate, lower cost). X-axis is reversed to match DeepSWE’s public chart. v1.1 uses average cost, output tokens and steps. Legacy v1 transcriptions are excluded here until an exact primary receipt is retained.

DeepSWE 1.1 leaderboard with pass rate, cost, tokens, and steps per task
#ModelPass@1Cost / taskTokens / taskSteps / task
1GPT-6 Astra [xhigh]74.1%$4.4330k29
2Gemini 3.8 Flash [high]73.8%$2.36143k166
3Claude Opus 5 [max]73.6%$11.84118k99
4GPT-5.6 Sol [max]72.7%$8.3960k61
5Claude Fable 5 [xhigh]69.9%$13.4180k68
6GPT-5.6 Terra [max]69.6%$4.9572k76
7GLM 5.3 [max]69.0%$3.9980k124
8Kimi K3 [max]68.5%$4.6582k98
9Grok 4.6 [medium]67.5%$3.4550k70
10GPT-5.6 Luna [max]67.2%$3.0373k102
11GPT-5.5 [xhigh]67.0%$7.2346k82
12Gemini 3.7 Flash [medium]65.5%$2.0394k117
13GLM 5.3 Flash [max]63.4%$0.4873k123
14DeepSeek V4-Pro [max]62.8%$0.24106k155
15Claude Opus 4.8 [max]59.0%$13.22135k120
16Qwen3.8-Max [xhigh]57.5%$3.7395k111
17Muse Spark 1.2 [xhigh]54.9%$3.7099k101
18Claude Sonnet 5 [max]53.8%$26.40214k268
19Grok 4.5 [high]53.8%$2.4236k61
20DeepSeek V4-Flash [max]53.3%$0.10108k153
21Muse Spark 1.1 [xhigh]53.3%$2.3674k96
22GPT-5.4 [xhigh]51.8%$5.6571k70
23Gemini 3.6 Flash [high]46.7%$4.4296k117
24GLM 5.2 [max]43.8%$3.9278k129
25Gemini 3.5 Flash [high]36.1%$3.4576k105
26Kimi K2.7 Code30.5%$2.8259k149
27Claude Sonnet 4.6 [high]29.9%$5.5276k134
28Gemini 3.1 Pro [high]11.7%$2.1428k76

“Best per model” shows each model’s highest source-matched Pass@1 in this capture; switch to all effort levels to see every retained configuration. Efforts differ across models, so this view is not a comparison at matched effort. The source was generated September 22 and captured October 1. Small gaps may not be statistically meaningful — confirm on deepswe.datacurve.ai.

When the cheaper one wins

Gemini 3.8 Flash is cheaper on output at $3.75 per million tokens against $10 for Amazon Nova 2 Pro — about 2.7×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. This compares standard short-context token rates, not total cost per accepted task. Include input, cache, context tiers, schedules, retries and review in your pilot.

Run the model picker

Evidence confidence: Medium

How strong and complete the evidence behind this comparison is — not a prediction of which model is better.

  • Pricing verified on both sides — Input and output rates are verified for both models.
  • 3/5 core specs verified on both sides — Not published for at least one side: max output, parameter count.
  • No directly aligned benchmark setup — No benchmark has matching cited sources, source dates, units, effort and recorded run details on both models.
  • Verified within the last 90 days — Older of the two catalog checks was 25 days ago.
  • Both models carry source citations — Each side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Related comparisons

Diving deeper on one model? Amazon Nova 2 Pro · Gemini 3.8 Flash

Common questions

Amazon Nova 2 Pro vs Gemini 3.8 Flash

Answered from the verified figures on this page rather than general guidance.

Is Amazon Nova 2 Pro or Gemini 3.8 Flash cheaper for input?
Gemini 3.8 Flash is cheaper at $0.75 per million input tokens, against $1.25 for Amazon Nova 2 Pro — roughly 1.7× the price. Estimate both input and output token volume for your workload. These are base rates; Amazon Nova 2 Pro: Bedrock Global Standard $1.25/$10 per MTok; single-region $1.375/$11. Global Flex/Batch $0.625/$5; Global Priority $2.1875/$17.50. These are native Nova 2.0 Pro meters in the September 30, 2026 offer file, not custom-model or training rates. No Pro cached-input meter is present in this snapshot. Price meters do not establish account access. Gemini 3.8 Flash: Intro Standard $0.75/$3.75 per MTok through December 31, 2026; $1.50/$7.50 from January 1, 2027. Output includes thinking tokens. Cached input $0.075, rising to $0.15; storage $0.50/MTok-hour, rising to $1. Batch/Flex input/output are $0.375/$1.875, rising to $0.75/$3.75. Priority $1.35/$6.75, rising to $2.70/$13.50. Grounding tools have separate charges and quotas; free-tier limits differ from paid.
Is Amazon Nova 2 Pro or Gemini 3.8 Flash cheaper for output?
Gemini 3.8 Flash is cheaper at $3.75 per million output tokens, against $10 for Amazon Nova 2 Pro — roughly 2.7× the price. Estimate both input and output token volume for your workload. These are base rates; Amazon Nova 2 Pro: Bedrock Global Standard $1.25/$10 per MTok; single-region $1.375/$11. Global Flex/Batch $0.625/$5; Global Priority $2.1875/$17.50. These are native Nova 2.0 Pro meters in the September 30, 2026 offer file, not custom-model or training rates. No Pro cached-input meter is present in this snapshot. Price meters do not establish account access. Gemini 3.8 Flash: Intro Standard $0.75/$3.75 per MTok through December 31, 2026; $1.50/$7.50 from January 1, 2027. Output includes thinking tokens. Cached input $0.075, rising to $0.15; storage $0.50/MTok-hour, rising to $1. Batch/Flex input/output are $0.375/$1.875, rising to $0.75/$3.75. Priority $1.35/$6.75, rising to $2.70/$13.50. Grounding tools have separate charges and quotas; free-tier limits differ from paid.
Which has the larger context window, Amazon Nova 2 Pro or Gemini 3.8 Flash?
Gemini 3.8 Flash accepts 1.05M tokens against 1M for Amazon Nova 2 Pro. This only matters if you routinely send very long documents or large codebases.
Do Amazon Nova 2 Pro and Gemini 3.8 Flash support the same reasoning levels?
Both expose these named effort settings: "low", "medium", "high". The same labels do not guarantee equal compute budgets or behavior across providers. Compare quality, latency and cost on your own tasks.
Should I use Amazon Nova 2 Pro or Gemini 3.8 Flash?
Both are classified in our balanced tier; this editorial grouping does not imply equal capability. Amazon Nova 2 Pro is a candidate for aws-native workloads; Gemini 3.8 Flash is a candidate for agentic coding at scale. Compare accuracy, tool reliability, latency and cost on representative tasks.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Input price: Gemini 3.8 Flash costs $0.75 per 1M tokens versus $1.25 for Amazon Nova 2 Pro — a 1.7x difference at the headline tier.
  • Context: Gemini 3.8 Flash takes 1.05M against 1M for Amazon Nova 2 Pro — only decisive if your prompts approach the smaller window.
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