Comparison · OpenAI
GPT-6 Astra vs GPT 5.6 Sol: pricing, allowances and benchmarks
GPT-6 Astra (OpenAI) and GPT 5.6 Sol (OpenAI): 4 shared subscriptions and 8 shared leaderboard snapshots, with workloads, sample dates and benchmark configurations.
Plan & benchmark data snapshot · How real prices are computed
As of 2026-10-16, 1 of 4 shared subscriptions use matching normalized workloads: GPT-6 Astra has a lower recorded token cost on 0, GPT 5.6 Sol on 1, with 0 tied. Their highest archived configurations score 52.67 and 46.97 on Artificial Analysis Intelligence Index v4.3; all 8 shared leaderboard snapshots, configurations and sources appear below.
- Shared subscriptions
- 4Both models available
- Comparable workloads
- 1Used for price ratios
- Shared leaderboards
- 8Highest archived configurations
- Official API prices
- 2/ 2Models with list prices
Plot both on the price–capability chart
Same plan, side by side
Each row is a subscription that includes both models at the same fee. Real cost = monthly fee ÷ the recorded monthly allowance. Each model's allowance assumes using the plan for that model; the columns cannot be added together. Click a price for its calculation and sources. Ratios use only matching normalized workloads.
| Plan / provider | Monthly fee | GPT-6 Astra | GPT 5.6 Sol | Recorded token cost |
|---|---|---|---|---|
| ChatGPT PlusOpenAI | $20/mo | $0.1258 /MTok 0.159B tokens/month Not normalized 2026-09-11 · sampled · confidence High | $0.03247 /MTok 0.616B tokens/month Not normalized 2026-07-30 · sampled · confidence Medium | Unnormalized records |
| ChatGPT Pro 5xOpenAI | $100/mo | $0.1099 /MTok 0.91B tokens/month Not normalized 2026-07-30 – 2026-09-21 · derived; uses the data date of ChatGPT Plus · gpt-5.6-sol；ChatGPT Pro 20x · gpt-6-astra、gpt-5.6-sol · confidence Low | $0.03247 /MTok 3.08B tokens/month Not normalized 2026-07-30 · derived; uses the data date of ChatGPT Plus · gpt-5.6-sol · confidence Medium | Unnormalized records |
| ChatGPT Pro 20xOpenAI | $200/mo | $0.05247 /MTok 3.812B tokens/month Not normalized 2026-09-07 – 2026-09-21 · sampled · confidence Medium | $0.0155 /MTok 12.902B tokens/month Not normalized 2026-06-10 – 2026-09-06 · sampled · confidence High | Unnormalized records |
| Droid MaxFactory | $200/mo | $0.1979 /MTok 1.01B tokens/month Anthropic workload 2026-09-29 · derived; uses the data date of Droid Max · claude-opus-5.5 · confidence Medium | $0.07918 /MTok 2.526B tokens/month Anthropic workload 2026-09-29 · derived; uses the data date of Droid Max · claude-opus-5.5 · confidence Medium | GPT 5.6 Sol lower2.5× price ratio (higher/lower) |
Leaderboards head to head
Each model's highest archived configuration on each shared leaderboard snapshot, ranked among the models archived in this dataset. Harness, reasoning effort and service mode can differ; self-reported and estimated results are marked. These reference configurations are not measurements of the subscriptions above. Overlapping leaderboards do not form an overall ability rating.
| Leaderboard | Metric | GPT-6 Astra | GPT 5.6 Sol | Higher archived score |
|---|---|---|---|---|
| Artificial Analysis Intelligence Index v4.3 | Intelligence Index | 52.67 #4 / 60 · GPT-6 Astra (max) Max 2026-10-01 · Record | 46.97 #10 / 60 · GPT-5.6 Sol (max) Max 2026-10-01 · Record | GPT-6 Astra+5.7 |
| Terminal-Bench 4.0 | Resolution Rate % | 58.18 #2 / 18 · Codex - GPT-6 Astra (max) Codex · Max Reported interval 55.39–60.97 2026-10-01 · Record | 37.27 #8 / 18 · Codex - GPT-5.6 Sol (max) Codex · Max Reported interval 33.49–41.05 2026-10-01 · Record | GPT-6 Astra+20.91 |
| Terminal-Bench 4.0 (AA) | Resolution Rate % | 59.6 #2 / 53 · Artificial Analysis - GPT-6 Astra (xhigh) Artificial Analysis · xhigh 2026-10-01 · Record | 39.9 #10 / 53 · Artificial Analysis - GPT-5.6 Sol (max) Artificial Analysis · Max 2026-10-01 · Record | GPT-6 Astra+19.7 |
| Code Arena | WebDev Overall | Arena Score | 1,789 #2 / 54 · gpt-6-astra-max Max Reported interval 1,778.6–1,799.4 2026-10-01 · Record | 1,619 #18 / 54 · gpt-5.6-sol-xhigh (codex-harness) Codex · xhigh Reported interval 1,613–1,625 2026-10-01 · Record | GPT-6 Astra+170 |
| Agent Arena · Overall (Ranking / Pareto) | Net Improvement % | 12.18 #3 / 39 · GPT 6 Astra (Max) Max Reported interval 9.9–14.46 2026-10-01 · Record | 7.05 #7 / 39 · GPT 5.6 Sol (xHigh) xhigh Reported interval 5.67–8.43 2026-10-01 · Record | GPT-6 Astra+5.13 |
| Artificial Analysis Coding Agent Index v1.5 | Coding Agent Index | 61.65 #5 / 19 · Codex - GPT-6 Astra (max) Codex · Max 2026-10-01 · Record | 54.56 #9 / 19 · Codex - GPT-5.6 Sol (max) ({'reasoning_effort': 'max'}) Codex · Max 2026-10-01 · Record | GPT-6 Astra+7.09 |
| OpenDesign Arena · Quality ranking | Average task score | 82.7 #7 / 16 · GPT-6 Astra OpenDesign 2026-10-01 · Record | 77.6 #11 / 16 · GPT-5.6 Sol OpenDesign 2026-10-01 · Record | GPT-6 Astra+5.1 |
| DeepSWE v1.1 | Pass@1 % | 74.12 #2 / 33 · mini-swe-agent - gpt-6-astra (xhigh) mini-swe-agent · xhigh Reported interval 71.25–76.98 2026-09-12 · Record | 72.67 #5 / 33 · mini-swe-agent - gpt-5-6-sol (max) mini-swe-agent · Max Reported interval 69.84–75.5 2026-09-12 · Record | GPT-6 Astra+1.45 |
Official API pricing
Each row uses its listed pricing conditions. Cache writes are shown separately; subscription costs above retain their recorded quota basis. An em dash means that rate is not recorded.
| Model / pricing conditions | Cached input | Input | Cache write | Output |
|---|---|---|---|---|
| GPT-6 AstraStandard · Global · ≤ 272,000 input tokensOfficial source · Checked All pricing tiers | $1 | $10 | $12.5 | $50 |
| GPT 5.6 SolUpstream referenceUpstream price reference | $0.4 | $4 | — | $20 |
How to read this comparison
Price ratios compare recorded USD/MTok under the same known workload. Raw measured totals, different workloads and unmetered access remain visible but are excluded from the lower-cost counts. Recorded allowances assume using the quota; your effective cost depends on utilization, cache mix, output mix and plan limits. Qualitative confidence is not an error bar.
- Not workload-normalized: sample lacks a token breakdown (or is an official absolute token table); raw tokens used as-is
- Anthropic workload: 97% cache reads / 2.5% cache writes / 0.5% output